{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Preprocessing data for QSARtuna"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Introduction \n",
"\n",
"Probably the most important step in using the automated parameter optimization is the preprocessing of the data prior to training the model. Common considerations include how to deal with duplicates SMILES having different read-out values, if and how to split the data into a training and (holdout) test set, and how to prepare input files in a proper way (e.g. transform SDF files into a dataframe with SMILE string- and read-out-columns).\n",
"\n",
"The QSARtuna (`Optuna_AZ`) packages have some built-in functionality to facilitate that process.\n",
"\n",
"\n",
"N.B: these examples demonstrate the QSARtuna preprocessing functionaility in detail. QSARtuna can automatically apply deduplication, splitting, PTR, etc. directly from user configurations when running an Optimisation or Build job."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Start with imports."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import random\n",
"\n",
"from rdkit.Chem import PandasTools\n",
"from rdkit import Chem\n",
"from rdkit.Chem.Draw import IPythonConsole\n",
"from IPython.display import display, HTML\n",
"\n",
"from os import listdir\n",
"from os.path import isfile, join\n",
"from os import walk\n",
"\n",
"#load code from the \"Optuna_AZ\" package that comes in handy here\n",
"%run ../optunaz/utils/preprocessing/deduplicator.py\n",
"%run ../optunaz/utils/preprocessing/splitter.py"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# load the plotting libraries, in case needed\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# set plotting parameters\n",
"large = 20; med = 16; small = 12\n",
"params = {'axes.titlesize': large,\n",
" 'legend.fontsize': med,\n",
" 'figure.figsize': (16, 10),\n",
" 'axes.labelsize': med,\n",
" 'axes.titlesize': med,\n",
" 'xtick.labelsize': med,\n",
" 'ytick.labelsize': med,\n",
" 'figure.titlesize': large}\n",
"plt.rcParams.update(params)\n",
"plt.style.use('seaborn-v0_8-whitegrid')\n",
"sns.set_style(\"white\")\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Translate from SDF to CSV (if needed) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"QSARtuna can use either SMILES strings (no stereochemistry!) or SDF as input molecular representation.\n",
"\n",
"SMILES input is a comma-separated values (CSV) file with a SMILES column and a read-out (response) column. Read-out (response) column can be either numeric values (for regression) or labels (for classification). Note, that labels can be in the form of integer/boolean values - as long as the optimization process is specified as `classification`, they will be translated into nominal data values. SDF files should have the response column provided within the SDF file.\n",
"\n",
"Data provided in SDF format can (optionally - since QSARtuna can accept SDF files) be converted to a SMILES file (so that any optional more advanced preprocessing can be conducted) using the following code."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"file = \"../tests/data/sdf/example.sdf\"\n",
"primarydf = PandasTools.LoadSDF(file)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" smiles activity\n",
"0 O=C1COc2ccccc2N1 3.004321\n",
"1 O=C(O)c1ccc(COc2ccccc2CCc2ccccc2)cc1 4.882397\n",
"2 O=C(O)c1ccc(COc2ccccc2CCc2ccccc2)cc1 5.130299\n",
"3 O=c1ccc2ccccc2[nH]1 3.481486\n",
"4 CC(=O)Nc1ccccn1 3.004321"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# get the important columns (activity values and calculated SMILES) and rename them for convenience\n",
"# drop the rest\n",
"primarydf[\"activity\"] = primarydf[\"pXC50\"].astype(float)\n",
"primarydf[\"smiles\"] = [Chem.MolToSmiles(mol, isomericSmiles=False) for mol in primarydf[\"ROMol\"]]\n",
"primarydf = primarydf[[\"smiles\", \"activity\"]]\n",
"primarydf.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note, that there is no need to stick to this column-naming convention - both the preprocessing engine and `Optuna_AZ` allow you to specify the column names to be used explicitly."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Deal with duplicates (Deduplication) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's assume you have a proper `pandas` dataframe at this stage, with one column for the molecules as SMILES and one read-out column (numeric activity values in this example). Depending on how you obtained your dataset and whether it is already processed, you might have the same molecule present more than once (duplicates), probably with (hopefully slightly) different values. As these pose a potential problem afterwards, it might be wise to use only unique observations, i.e. remove all instances of duplicated molecules but one. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are different strategies to remove duplicates, which will are outlined below.\n",
"* `KeepFirst()` and `KeepLast()`: keep the first or last occurrence of each duplicate.\n",
"* `KeepRandom(seed)`: keep a random observation for each duplicate. Note, that the order of observations is not preserved. Use the `seed` parameter to vary results or to reproduce them.\n",
"* `KeepMin()` and `KeepMax()`: keep min or max value.\n",
"* `KeepAvg()`: take the average for all duplicates.\n",
"* `KeepMedian()`: (default in QSARtuna) take the median for all duplicates.\n",
"\n",
"The default deduplication method in QSARtuna is KeepMedian, which is recommended best practice due the ability to utilise all experimental data into one value (account for experimental variability across replicated), whilst being robust to outliers.\n",
"\n",
"Each of the deduplication methods returns a unique version of the stored dataframe."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"original: 397, deduplidcated: 38, 38, 38, 38, 38\n"
]
}
],
"source": [
"import sys\n",
"sys.path.append(\"..\")\n",
"\n",
"from optunaz.utils.preprocessing.deduplicator import *\n",
"\n",
"col = \"smiles\"\n",
"\n",
"df_pos = KeepFirst().dedup(primarydf, col)\n",
"df_rnd = KeepRandom().dedup(primarydf, col)\n",
"df_max = KeepMax().dedup(primarydf, col)\n",
"df_avg = KeepAvg().dedup(primarydf, col)\n",
"df_med = KeepMedian().dedup(primarydf, col)\n",
"\n",
"# print sizes\n",
"print(f\"original: {len(primarydf)}, deduplidcated: {len(df_pos)}, {len(df_rnd)}, {len(df_max)}, {len(df_avg)}, {len(df_med)}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To print duplicate, use Pandas DataFrame method `duplicated()` to get indicies of the duplicates."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" smiles activity\n",
"2 O=C(O)c1ccc(COc2ccccc2CCc2ccccc2)cc1 5.130299\n",
"6 COc1cc2ncnc(Nc3ccc(SCc4ccccc4)c(Cl)c3)c2cc1OC 5.282579\n",
"7 O=c1ccc2ccccc2[nH]1 3.004321\n",
"8 O=C1COc2ccccc2N1 4.912929\n",
"10 Cc1cccc(Nc2ncnc3ccc(-c4ccccc4)cc23)c1 5.004321\n",
".. ... ...\n",
"389 CC(=O)c1nn(CC(=O)N2CC(F)CC2C(=O)Nc2cccc(Br)n2)... 8.065502\n",
"390 CC(=O)Nc1ccccn1 3.958607\n",
"392 NC(=O)c1ccc(Oc2cccc(C(F)(F)F)c2)cc1 3.004321\n",
"394 Cn1nc(-c2cnc(Cl)c(-c3ccc(C(N)=O)cc3)n2)nc1C1(c... 4.958607\n",
"396 CCC(Oc1nc(Oc2cc(-c3ccccc3)cc(-c3cccc(CN)c3)c2)... 5.936291\n",
"\n",
"[359 rows x 2 columns]\n"
]
}
],
"source": [
"idx = primarydf.duplicated(subset='smiles')\n",
"print(primarydf[idx])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Interlude: Compare the different deduplication strategies \n",
"Depending on the way duplicates are removed, the resulting activity-value distribution is (slightly) different. \n",
"\n",
"Note, however, that only few (~40) duplicates were present in the data, so the effect is minimal for this dataset."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# make a density plot to compare the strategies\n",
"plt.figure(figsize=(10,6), dpi=80)\n",
"\n",
"plt.xlabel(\"activity\")\n",
"plt.ylabel(\"density\")\n",
"plt.title(\"Different deduplication strategies\", fontsize=18)\n",
"sns.kdeplot(df_pos[\"activity\"], fill=True, color=\"orange\", alpha=0.25,\n",
" label = \"KeepFirst(): %s\" % round(df_pos[\"activity\"].mean(), ndigits=4))\n",
"sns.kdeplot(df_rnd[\"activity\"], fill=True, color=\"blue\", alpha=0.25,\n",
" label =\"KeepRandom(): %s\" % round(df_rnd[\"activity\"].mean(), ndigits=4))\n",
"sns.kdeplot(df_avg[\"activity\"], fill=True, color=\"grey\", alpha=0.45,\n",
" label = \"KeepAverage(): %s\" % round(df_avg[\"activity\"].mean(), ndigits=4))\n",
"sns.kdeplot(df_med[\"activity\"], fill=True, color=\"deeppink\", alpha=0.05,\n",
" label = \"KeepMedian(): %s\" % round(df_med[\"activity\"].mean(), ndigits=4))\n",
"# do the legend and render\n",
"plt.legend(loc=\"upper right\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Splitting the data "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"While it is recommended to use a hold-out / test set to independently assess your model's performance after the fitting procedure, this step might be skipped, e.g. if your dataset is small and you want to use all observations for training the model. However, usually it would be advisable to separate a hold-out set now (typically about 20% of observations). There are different strategies, depending on your data and aims."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Random split "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It is typically not a good idea to simply take, say, the first 20% of observations and train on the rest. It could very well be, that your data points have some kind of internal ordering such as a temporal dependence. In general, you would want to have your test set to resemble the same (or similar) distribution than the training set.\n",
"\n",
"The easiest way to achieve that is to simply draw observations randomly. This works especially well if you have large datasets, where you can rely on a stochastic behaviour. See example below. Note, that you can use the `seed` parameter to control the initial seed of the random number generator."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train (random): 26\n",
"Test (random): 12\n"
]
}
],
"source": [
"# generate a training and test, respectively\n",
"train_ran, test_ran = Random(fraction=0.3, seed=42).split(df_med[\"smiles\"])\n",
"\n",
"print(\"Train (random):\", len(train_ran))\n",
"print(\"Test (random):\", len(test_ran))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Temporal split \n",
"Sometimes it might be interesting to split the data according to a `time_column`, to e.g. group all old datapoints into the training set and all data points accrued after a specified time into the test set.\n",
"\n",
"Temporal splitting achieves this, and assumes that the data is sorted, with the oldest entries in the beginning of the file, and the newest entries added at the end.\n",
"\n",
"As our test input does not have a specific `time_column` to indicate sorting, we will assume that the observations were made with a timestamp recorded, but new observations were added at the top."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" smiles activity timestamp\n",
"0 CC(=O)NCCCCCCOc1ccc2c(c1)c(NC(=O)N1CC(F)CC1C(=... 7.684240 1037\n",
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"4 CC(=O)c1nn(CC(=O)N2C(C(=O)Nc3cccc(Br)n3)CC3CC3... 7.790259 1033"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# make a copy of the dataframe for illustrative purposes\n",
"df_med_temporal = df_med.copy()\n",
"\n",
"# add a \"fake\" time_column with timestamps\n",
"df_med_temporal.insert(2, \"timestamp\",\n",
" list(reversed(range(1000, 1000 + len(df_med_temporal)))))\n",
"df_med_temporal.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train (temporal): 34\n",
"Test (temporal): 4\n"
]
}
],
"source": [
"# initialize a new splitter with this extended data\n",
"train_temporal, test_temporal = Temporal(fraction=0.1).split(df_med_temporal)\n",
"\n",
"print(\"Train (temporal):\", len(train_temporal))\n",
"print(\"Test (temporal):\", len(test_temporal))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Stratified split \n",
"Sometimes (especially for small datasets, using only a very small fraction for testing or highly skewed distributions) it might be better to use a *stratified* splitting strategy. Essentially, it will bin the observations according to the value column `activity` and instead of drawing `fraction` observations from the whole dataset, draw them individually from each bin. This ensures that the distributions of the training and test sets are very close. See example below. Note, that while it is possible to specify a number of bins using parameter `bins`, it is probably better to use the default \"fd\" (see `numpy.histogram` documentation) which will try to determine a well-balanced number of bins automatically taking the data variability and variance into account. By default QSARtuna uses an `fd_merged` method which builds on the \"fd\" method which avoids out of memory errors."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train (stratified): 22\n",
"Test (stratified): 16\n"
]
}
],
"source": [
"# generate a training and test, respectively\n",
"\n",
"train_str, test_str = Stratified(fraction=0.4, seed=42, bins=\"fd\").split(df_med[\"smiles\"], df_med[\"activity\"])\n",
"\n",
"print(\"Train (stratified):\", len(train_str))\n",
"print(\"Test (stratified):\", len(test_str))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Scaffold-based split \n",
"A scaffold based split affords the generation of a more real-world/realistic split when a model is trained on a given set of chemical scaffolds (core ring system) and deplopyed to a new set of scaffolds. This emulates a real-world situation when QSAR models used to identify scaffold-hopping opportunities or to new chemical series distinct to training data. These situations push the applicability domain of the models (the area of chemical space that they are realible) to the limit. A scaffold-split is hence the most challenging of the splitting strategies employed. The ScaffoldSplit descriptors comprise the same bins parameter which also defaults to \"fd_merge\"."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train (stratified): 23\n",
"Test (stratified): 15\n"
]
}
],
"source": [
"# generate a training and test, respectively\n",
"scaf_split = ScaffoldSplit()\n",
"scaffolds = scaf_split.groups(df_med, \"smiles\")\n",
"groups = df_med[\"smiles\"].map(scaffolds)\n",
"train_sca, test_sca = scaf_split.split(df_med[\"smiles\"], df_med[\"activity\"], groups=groups)\n",
"\n",
"print(\"Train (stratified):\", len(train_sca))\n",
"print(\"Test (stratified):\", len(test_sca))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Interlude: Compare splitting strategies \n",
"The following code will plot the ground distribution for the activity (stored in `df_val`) and the train-test distributions obtained from one of the splitting strategies. This is a good example why caution is in order when using temporal splitting: if the data distributions are different between training and test sets, the resulting model will likely not generalize well to the test set. The random split roughly resembles the ground distribution, but it is evident, that the stratified does an even better job in this respect. For (very) large datasets, the difference between the latter two will likely be less pronounced."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# make a density plot to compare the strategies\n",
"plt.figure(figsize=(18,12), dpi=80)\n",
"\n",
"# left plot\n",
"plt.subplot(1, 4, 1)\n",
"plt.xlabel(\"activity\")\n",
"plt.ylabel(\"density\")\n",
"plt.title(\"Temporal split\", fontsize=18)\n",
"sns.kdeplot(df_med_temporal[\"activity\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med_temporal.loc[train_temporal][\"activity\"], fill=True, color=\"blue\", label=\"temp.split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med_temporal.loc[test_temporal][\"activity\"], fill=True, color=\"dodgerblue\", label=\"temp. split (test)\", alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"\n",
"# middle left plot\n",
"plt.subplot(1, 4, 2)\n",
"plt.xlabel(\"activity\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Random split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"activity\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[train_ran][\"activity\"], fill=True, color=\"blue\", label=\"random split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[test_ran][\"activity\"], fill=True, color=\"dodgerblue\", label=\"random split (test)\", alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"\n",
"# middle right plot\n",
"plt.subplot(1,4,3)\n",
"plt.xlabel(\"activity\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Stratified split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"activity\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[train_str][\"activity\"], fill=True, color=\"blue\", label=\"stratified split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[test_str][\"activity\"], fill=True, color=\"dodgerblue\", label=\"stratified split (test)\", alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"\n",
"# right plot\n",
"plt.subplot(1,4,4)\n",
"plt.xlabel(\"activity\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Scaffold split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"activity\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[train_sca][\"activity\"], fill=True, color=\"blue\", label=\"saffold split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[test_sca][\"activity\"], fill=True, color=\"dodgerblue\", label=\"scaffold split (test)\", alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"\n",
"# do the legend and render\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Transform of data inputs \n",
"QSARtuna can perform two types of transforms on input labels either a probabilistic transformation named Probabilistic Threshold Representation (PTR) or simple logarithmic scaling. The latter is a required step for data that is not normally distributed for most Machine Learning inputs. These approaches are discussed in more detail in the following sections."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Log transform of user input data \n",
"\n",
"For some molecule proprety prediction tasks that are non-linear, activity endpoints are routinely log transformed to ensure the generation of predictive models. This is because a linear model applied to non-linear activity data will not be precise due to the non-linearity of the activity scale. A logarithmic function can be used to linearise the molecule property scale, affording better performance/prediction.\n",
"\n",
"\n",
"### Importance of log transformation \n",
"\n",
"Most algorithms assume numerical co-variates have a Gaussian (normally distributed) probability distribution. In reality, input data may or may not have a normal distribution. Some may have a Gaussian-like distribution (e.g. nearly Gaussian but with outliers or a skew) whilst other may exhibit totally different distribution (e.g. exponential scale). For this reason, superior performance for a wide range of machine learning algorithms is obtained by performing a transformation to user inputs and/or output variables to have a Gaussian or Gaussian-like distribution.\n",
"\n",
"A good example of this is the conversion of principal (IC50) activity results to the pXC50 (negative log base), which have already been precomputed outside of QSARtuna in the following example:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from optunaz.datareader import Dataset\n",
"\n",
"#Load a dataset selecting the principal result (raw XC50 values)\n",
"xc50_data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"Measurement\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepAllNoDeduplication(),\n",
")\n",
"\n",
"#Load a dataset selecting the pre-computed transformed result (pXC50 values)\n",
"pxc50_data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"pXC50\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepAllNoDeduplication(),\n",
")\n",
"\n",
"comparison=pd.DataFrame(zip(xc50_data.get_sets()[1], pxc50_data.get_sets()[1]), columns=['XC50','pXC50'])\n",
"#plot raw vs. pXC50 log transform\n",
"g = sns.jointplot(data=comparison, x=\"XC50\", y=\"pXC50\")\n",
"g.fig.suptitle(\"Pre-computed pXC50 as a function of a precomputed pXC50\", fontsize=15)\n",
"g.plot_marginals(sns.rugplot, color=\"crimson\", height=-.15, clip_on=False, alpha=.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As illustrated in the above plot, the raw data (X axis & histogram at the top) shows a very skewed (heteroscedastic) distribution toward low values. In comparison, the negative log10^6 scaled pXC50 values (y-axis & histogram on the right) exhibits a more normal (homoscedastic) distribution of points. For this example, the log transformation yields a data set that should generate more predictive models."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### QSARtuna logarithmic transformation \n",
"\n",
"\n",
"QSARtuna implements a 'ModelDataTransform' transormation method for converting numerical input or output variables to have a Gaussian or more-Gaussian-like distribution, which can be performed like so:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from optunaz.utils.preprocessing.transform import (\n",
" LogBase,\n",
" LogNegative,\n",
" ModelDataTransform\n",
")\n",
"\n",
"transform = ModelDataTransform.new(\n",
" base=LogBase.LOG10,\n",
" negation=LogNegative.TRUE,\n",
" conversion=6\n",
")\n",
"\n",
"comparison['QSARtuna pXC50 ModelDataTransform'] = transform.transform(comparison['XC50'])\n",
"\n",
"g = sns.jointplot(data=comparison, x=\"QSARtuna pXC50 ModelDataTransform\", y=\"pXC50\")\n",
"g.plot_marginals(sns.rugplot, color=\"crimson\", height=-.15, clip_on=False, alpha=.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Performing data transform within the Datareader "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are different logartihmic functions (`log_transform_base`) to transform the activity scale, which are outlined below:\n",
"* `Log`: perform a natural log function (np.log)\n",
"* `Log2`: perform a log2 function (np.log2)\n",
"* `Log10`: perform a log10 function (np.log10) [default]\n",
"\n",
"Users can also specify whether to negate the transformation (`log_transform_negative`) and also to perform a log transform unit conversion by a power of 10^X (`log_transform_unit_conversion`), where X is an integer to be specified by a user.\n",
"\n",
"These options can be supplied to the Dataset datareader, and, as an example, a `log_transform_base` set to perform a Log10, `log_transform_negative`=LogNegative.TRUE, and a `log_transform_unit_conversion` of 6 is used to convert uM values to pXC50. This is demonstrated in the following:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Example of how to perform dataset transform within the Datareader\n",
"dataset_transformed = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"Measurement\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepAllNoDeduplication(),\n",
" log_transform=True, # flags to use a transform\n",
" log_transform_base=LogBase.LOG10, # Log10 base will be used\n",
" log_transform_negative=LogNegative.TRUE, # The negated log transform will be applied\n",
" log_transform_unit_conversion=6 # The unit conversion for pXC50 values is 6\n",
")\n",
"\n",
"pxc50_data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"pXC50\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepAllNoDeduplication(),\n",
")\n",
"\n",
"comparison=pd.DataFrame(zip(dataset_transformed.get_sets()[1], pxc50_data.get_sets()[1]), columns=['Computed pXC50','Precomputed pXC50'])\n",
"#plot raw vs. pXC50 log transform\n",
"g = sns.jointplot(data=comparison, x=\"Computed pXC50\", y=\"Precomputed pXC50\")\n",
"g.plot_marginals(sns.rugplot, color=\"crimson\", height=-.15, clip_on=False, alpha=.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As illustrated, a `log_transform_base` set to perform a Log10, `log_transform_negative`=LogNegative.TRUE, and a `log_transform_unit_conversion` of 6 reproduces the pXC50 conversion we had pre-computed in the file.\n",
"\n",
"NB: the log transformation is reversed at inference. I.e. only the model is trained with the transformed values, any predictions will be output to the original scale as provided in user input data.\n",
"\n",
"QSARtuna also implements the reverse of the transform using `reverse_transform`, so that users can obtain values on the original scale at inference, like so:"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#plot raw vs. pXC50 log transform\n",
"comparison['Reverse transform']=transform.reverse_transform(comparison['Computed pXC50']) #reverse_transform applied\n",
"g = sns.jointplot(data=comparison, x=\"Reverse transform\", y=\"Computed pXC50\")\n",
"g.plot_marginals(sns.rugplot, color=\"crimson\", height=-.15, clip_on=False, alpha=.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Probabilistic Threshold Representation (PTR) and experimental error \n",
"PTR is a technique to model the uncertainty of experimental error (first reported by Mervin et al.[1]), which converts user response columns into a framework somewhere between regression and classification.\n",
"\n",
"### Definition of the PTR \n",
"\n",
"Molecule properties derived from experiments have reproducibility limits due to experimental errors. Any model based on this data have such unavoidable error influencing performance which should ideally be factored into modelling and output predictions, such as the actual standard deviation of experimental (replicate) measurements (i.e. σ) or the associated comparability of activity values between aggregated heterogenous activity units (e.g., Ki versus IC50 values) during dataset assimilation (see [1] for a detailed analysis on this).\n",
"\n",
"Since uncertainty originates from the hypothesis that experimental data has a degree of uncertainty, compound response labels can be treated as probability distribution functions (rather than deterministic values) on a per-threshold basis ($p_{ActivityT}$) given a standard deviation (σ) threshold. For each bioactivity value ($p_{Activity}$), the cumulative distribution function (cdf) of a normal distribution (Eq. 1) with a mean equal to the bioactivity threshold for each $p_{ActivityT}$ can be used:\n",
"$$\n",
"\\Delta y\\left( {\\vec{c}} \\right) = \\frac{1}{2}\\left[ {1 + {\\text{erf}}\\left( {\\frac{{\\overrightarrow {{p_{Activity} }} - \\overrightarrow {{p_{Threshold} }} }}{\\sigma \\sqrt 2 }} \\right)} \\right]\n",
"$$\n",
"\n",
"Eq.1\n",
"\n",
"More concretely, assuming only the mean and variance of response column values is known, the maximum entropy distribution to represent these values is a normal distribution. One can set the mean and variance parameters of this distribution to a response columns threshold value (e.g., pXC50 of 5), and experimental error (e.g., σ of 0.3) and compute the probability of activity values with the cdf. A sensible arbitrary default can be provided when experimental error is unknown. Each $p_{Activity}$ value is therefore converted to a y-label probability (∆y), a value representing the uncertainty in the measurement, which can be used for training (using either a probabilistic random forest (PRF) or regression algorithm). A schematic representation/lookup table of how the PTR works is shown below.\n",
"\n",
"\n",
"\n",
"Response column values (e.g. pXC50) are converted into the ideal y-label probability using cdf with different bioactivity thresholds and standard deviation (SD) values. E.g. a response column of 5.1, would be assigned a PTR of 0.63 given a cutoff of 5.0 and σ (SD) of 0.3. The case when SD is 0 corresponds to the traditional classification at a cutoff scenario.\n",
"\n",
"PTR hence represents the activity in a framework in-between the classification and regression architecture, with philosophical differences from either approach. Compared to classification, this approach enables better representation of factors increasing/decreasing inactivity. Conversely, one can utilize all data (even delimited/operand/censored data far from a cut-off) at the same time as taking into account the granularity around the cut-off, compared to a conventional regression framework. Thereby, PTR combines characteristics from both classification and regression settings.\n",
"\n",
"NB: QSARtuna treats the PTR values as the ‘ideal y-label’, i.e. they become the new response column values for train/test/validation performance evaluation, since it represents the ideal case, where experimental error is taken into account and model outputs most closely reflect this.\n",
"\n",
"\n",
"[1] https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00539-7#Sec12"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### QSARtuna implementation of the PTR\n",
"\n",
"PTR is also easily applied within the Datareader class by specifying the PTR options to the QSARtuna datareader. E.g:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"pxc50_threshold=5\n",
"pxc50_std=0.3\n",
"\n",
"# ptr query for the exmaple sdf\n",
"ptr_data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"pXC50\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepMedian(),\n",
" split_strategy=Random(fraction=0.2, seed=42),\n",
" probabilistic_threshold_representation=True, # This enables PTR\n",
" probabilistic_threshold_representation_threshold=pxc50_threshold, # This defines the activity threshold\n",
" probabilistic_threshold_representation_std=pxc50_std, # This captures the deviation/uncertainty in the dataset\n",
")\n",
"\n",
"# normal query (ptr not applied) for the exmaple sdf\n",
"data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"pXC50\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepMedian(),\n",
" split_strategy=Random(fraction=0.2, seed=42),\n",
")\n",
"\n",
"#gather response col values before & after applying the ptr\n",
"datareaders = pd.DataFrame(zip(ptr_data.get_sets()[1], data.get_sets()[1]))\n",
"\n",
"#get pXC50 value at the limit of ~100% inactive certainty \n",
"lower_reproducability=datareaders[datareaders.astype(float).round(3)[0]==0][1].max()\n",
"\n",
"#get pXC50 value at the limit of ~100% active certainty \n",
"upper_reproducability=datareaders[datareaders.astype(float).round(3)[0]==1][1].min()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The distribution for the PTR dataloader looks like this (note the a somewhat inverted bell shape):"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#plot the kde for the ptr\n",
"plt.title(\"PTR distribution from the example SDF\", fontsize=18)\n",
"plt.xlabel(f\"PTR (pXC50={pxc50_threshold}, SD={pxc50_std})\")\n",
"plt.ylabel(\"Density\")\n",
"sns.kdeplot(data=datareaders[0], fill=True, \\\n",
" color=\"crimson\", label=\"ptr ground\", \\\n",
" alpha=0.25, cut=0)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plotting the PTR as a function of the pXC50 outlines how the PTR transform behaves for our data:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/1v/9y_z128d7gvcp8mf8q0pz3ch0000gq/T/ipykernel_33301/3093832163.py:39: UserWarning: Tight layout not applied. tight_layout cannot make axes width small enough to accommodate all axes decorations\n",
" g.fig.tight_layout()\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.patches as mpatches\n",
"from matplotlib.patches import Patch\n",
"from matplotlib.lines import Line2D\n",
"\n",
"#relate the ptr versus the no ptr query\n",
"g = sns.jointplot(data=datareaders,x=0,y=1)\n",
"g.fig.suptitle(\"PTR as a function of the original response column\", fontsize=15)\n",
"g.ax_joint.set_xlabel(f\"PTR (pXC50={pxc50_threshold}, SD={pxc50_std})\")\n",
"g.ax_joint.set_ylabel(\"Original response col (pXC50)\")\n",
"g.ax_joint.axhline(y=pxc50_threshold,linestyle='--') #add threshold line to main plot\n",
"g.ax_marg_y.axhline(y=pxc50_threshold,linestyle='--') #add threshold line to y margin\n",
"\n",
"#add median to margin histograms\n",
"g.ax_marg_x.axvline(x=datareaders[0].median(),color='k')\n",
"g.ax_marg_y.axhline(y=datareaders[1].median(),color='k')\n",
"g.ax_joint.axhline(y=datareaders[1].median(),color='k', alpha=0) #add threshold line to main plot\n",
"\n",
"\n",
"#plot the region of uncertainty given the pxc50_threshold and pxc50_std\n",
"uncert_color=\"purple\"\n",
"uncert_region=mpatches.Rectangle((-1,lower_reproducability),3,\n",
" upper_reproducability-lower_reproducability, \n",
" fill = True, alpha = .2,\n",
" color = uncert_color)\n",
"g.fig.axes[0].add_patch(uncert_region)\n",
"\n",
"# create the legend & include uncertainty box \n",
"plt.legend(title='', \\\n",
" labels=['Response value', f'pXC50\\nThreshold={pxc50_threshold}', \\\n",
" 'pXC50 or\\nPTR Median','Uncertainty\\nRegion'], \\\n",
" fancybox=False,bbox_to_anchor=(1.3, .9), loc=2, borderaxespad=0.)\n",
"leg = g.fig.axes[0].get_legend()\n",
"leg.legend_handles[2].set_alpha(1)\n",
"leg.legend_handles[3].set_color(uncert_color)\n",
"leg.legend_handles[3].set_alpha(.2)\n",
"\n",
"\n",
"#show the plot in tight layout\n",
"g.fig.tight_layout()\n",
"g.fig.subplots_adjust(top=0.95)\n",
"g.fig.set_size_inches((7, 6))\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"where the PTR threshold [`pXC50 = 5`] is outlined via the dashed blue line, region of uncertainty for class membership given the standard deviation of experimental error shown via purple shading, and PTR and pXC50 scale medians shown via black lines within the margin histrograms, respectively.\n",
"\n",
"We observe the clipping toward perfectly certain (~100%) compounds belonging to active or inactive classes at either end of the activity scale (outside the purple shaded region), leading to the aforementioned inverted bell shape distribution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The PTR can also be applied using the 'PTRTransform' class directly:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from optunaz.utils.preprocessing.transform import PTRTransform\n",
"\n",
"# normal query (ptr not applied) for the exmaple sdf\n",
"data = Dataset(\n",
" input_column=\"Smiles\",\n",
" response_column=\"pXC50\",\n",
" response_type=\"regression\",\n",
" training_dataset_file=\"../tests/data/sdf/example.sdf\",\n",
" deduplication_strategy=KeepMedian(),\n",
" split_strategy=Random(fraction=0.2, seed=42),\n",
")\n",
"\n",
"ptr_transformed = PTRTransform.new(threshold=5, std=0.3)\n",
"datareader = pd.DataFrame(data.get_sets()[1])\n",
"\n",
"plt.title(\"PTR distribution from PTRTransform\", fontsize=18)\n",
"plt.xlabel(f\"PTR (pXC50={pxc50_threshold}, SD={pxc50_std})\")\n",
"plt.ylabel(\"Density\")\n",
"sns.histplot(ptr_transformed.transform(datareader['response']))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Conclusion: PTR calculation, evaluation of experimental reproducability & best practices "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this section, we next also look at how the PTR within the QSARtuna datareader is implemented, and show how a user can assess the experimental reproducability/uncertainty for their query dataset.\n",
"\n",
"First we start with imports and define the PTR function using `stats.norm.cdf` from scipy"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"import scipy\n",
"from scipy import stats\n",
"\n",
"# calculate the ptr for a resp_col value based on sd & threshold\n",
"def ptr(resp_col, threshold, sd):\n",
" return scipy.stats.norm.cdf(resp_col, threshold, sd).round(3)\n",
"\n",
"#r2 for activity dependent error analysis plot\n",
"def r2(x, y):\n",
" return np.round(stats.pearsonr(x, y)[0] ** 2,2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can group property measurement replicates via their structure (SMILES), and calculate the standard deviation for those replicates, also noting the median value across the replicates for each compound (in the same way as the aforementioned `KeepMedian()` deduplication method)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
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"
activity_std
\n",
"
activity_median
\n",
"
\n",
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\n",
"
Compound Index
\n",
"
\n",
"
\n",
"
\n",
" \n",
" \n",
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0
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0.088539
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7.684240
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1
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0.674782
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3.481464
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2
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],
"text/plain": [
" activity_std activity_median\n",
"Compound Index \n",
"0 0.088539 7.684240\n",
"1 0.674782 3.481464\n",
"2 0.265123 7.732625\n",
"3 0.138620 7.568332\n",
"4 0.157605 7.790259"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#standard deviation across compound replicates \n",
"std_df = primarydf.groupby(\"smiles\").std()\n",
"#median across compound replicates \n",
"mdn_df = primarydf.groupby(\"smiles\").median()\n",
"#create dataframe between standard deviation and the median across replicates \n",
"std_vs_median=std_df.merge(mdn_df,on=\"smiles\", suffixes=[\"_std\", \"_median\"]).dropna()\n",
"#show example of replicate data\n",
"std_vs_median=std_vs_median.reset_index(drop=True)\n",
"std_vs_median.index.name='Compound Index'\n",
"std_vs_median.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The mean overall standard deviation of experimental error across replicates can be hence derived:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Standard deviation of experimental results:0.22\n"
]
}
],
"source": [
"stdev=std_vs_median[\"activity_std\"].mean().round(2)\n",
"print(f'Standard deviation of experimental results:{stdev}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As a best practice, we can now analyse if experimental error has an activity dependent correlation for our query dataset:"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#r2 of median vs. std\n",
"stat_func = r2(std_vs_median[\"activity_median\"],std_vs_median[\"activity_std\"])\n",
"\n",
"#plot median vs. std dev\n",
"g = sns.jointplot(data=std_vs_median, x=\"activity_median\", y=\"activity_std\")\n",
"g.ax_joint.text(x=7.5,y=1.5,s=f\"r2={stat_func}\",fontsize=20)\n",
"g.plot_joint(sns.kdeplot, color=\"crimson\", zorder=0, levels=5,alpha=.7)\n",
"g.plot_marginals(sns.rugplot, color=\"crimson\", height=-.15, clip_on=False, alpha=.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Hence, we conclude there is no significant correlation between deduplicated experimental value and the standard deviation of those replicates (hence experimental uncertainty is homoscedastic), and the assumptions made by PTR transform are fulfilled according to the analysis presented here."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we can outline how a PTR fold would look for the different splits, given our experimental deviation, and for a threshold of `PXC50=6`. First we can calculate the split as so:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"# create the ptr column, generate train and test sets given the ptr, respectively\n",
"pxc50_threshold = 6 #defined pxc50 threshold\n",
"df_med[\"ptr\"] = ptr(df_med[\"activity\"],pxc50_threshold,stdev) #add the ptr column to the dataframe\n",
"ptr_train_ran, ptr_test_ran = Random(fraction=0.3, seed=42).split(df_med[\"smiles\"]) #random split\n",
"ptr_train_str, ptr_test_str = Stratified(fraction=0.4, seed=42).split(df_med[\"smiles\"], df_med[\"ptr\"]) #stratified split\n",
"ptr_train_temporal, ptr_test_temporal = Temporal(fraction=0.1).split(df_med[\"smiles\"]) #temporal split\n",
"#scaffold split\n",
"scaf_split = ScaffoldSplit()\n",
"scaffolds = scaf_split.groups(df_med, \"smiles\")\n",
"groups = df_med[\"smiles\"].map(scaffolds)\n",
"ptr_train_sca, ptr_test_sca = scaf_split.split(df_med[\"smiles\"], df_med[\"ptr\"], groups=groups)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The PTR behaves differently to the distribution of input values, so it would be interesting to contrast ground distribution for the activity and the train-test distributions obtained from splitting strategies as above:"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# make a density plot to compare the strategies\n",
"plt.figure(figsize=(18,12), dpi=80)\n",
"\n",
"# left plot\n",
"plt.subplot(1, 4, 1)\n",
"plt.xlabel(f\"probability of activity above {pxc50_threshold} (ptr)\")\n",
"plt.ylabel(\"density\")\n",
"plt.title(\"Temporal split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"ptr\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_train_temporal][\"ptr\"], fill=True, color=\"blue\", label=\"temp.split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_test_temporal][\"ptr\"], fill=True, color=\"dodgerblue\", label=\"temp. split (test)\", warn_singular=False, alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"plt.xlim(0,1)\n",
"\n",
"# middle left plot\n",
"plt.subplot(1, 4, 2)\n",
"plt.xlabel(f\"probability of activity above {pxc50_threshold} (ptr)\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Random split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"ptr\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_train_ran][\"ptr\"], fill=True, color=\"blue\", label=\"random split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_test_ran][\"ptr\"], fill=True, color=\"dodgerblue\", label=\"random split (test)\", warn_singular=False, alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"plt.xlim(0,1)\n",
"\n",
"# middle right plot\n",
"plt.subplot(1,4,3)\n",
"plt.xlabel(f\"probability of activity above {pxc50_threshold} (ptr)\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Stratified split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"ptr\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_train_str][\"ptr\"], fill=True, color=\"blue\", label=\"stratified split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_test_str][\"ptr\"], fill=True, color=\"dodgerblue\", label=\"stratified split (test)\", warn_singular=False, alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"plt.xlim(0,1)\n",
"\n",
"# right plot\n",
"plt.subplot(1,4,4)\n",
"plt.xlabel(f\"probability of activity above {pxc50_threshold} (ptr)\")\n",
"plt.ylabel(\" \")\n",
"plt.title(\"Scaffold split\", fontsize=18)\n",
"sns.kdeplot(df_med[\"ptr\"], fill=True, color=\"orange\", label=\"ground\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_train_sca][\"ptr\"], fill=True, color=\"blue\", label=\"Scaffold split (training)\", alpha=0.25)\n",
"sns.kdeplot(df_med.loc[ptr_test_sca][\"ptr\"], fill=True, color=\"dodgerblue\", label=\"Scaffold split (test)\", warn_singular=False, alpha=0.25)\n",
"plt.legend(loc=\"upper center\")\n",
"plt.xlim(0,1)\n",
"\n",
"# do the legend and render\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This above provides an example of the typical splitting distribution when using PTR across the different strategies. \n",
"\n",
"It can be seen via the inverted bell shape curve that the distributions peak to either extemes on the PTR scale. The figures also show cases when data distributions are different between training and test, when the resulting model will likely not generalize well to the test set. \n",
"\n",
"As before, the random split roughly resembles the ground distribution, whilst the stratified does an even better job in this respect. \n",
"\n",
"N.B: In comparison to the earlier splitting density analysis, similar dsitributions to the above are expected for even larger datasets, since the PTR preprocessing step will always \"clip\" values that are far away from the threshold or decision boundary, which hence biases y-labels toward either ends of the scale."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}