2.evaluate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate profile quality with cytominer-eval\n",
    "\n",
    "A necessary step in every image-base profiling pipeline is to evaluate profile quality.\n",
    "\n",
    "[cytominer-eval](https://github.com/cytomining/cytominer-eval) is a python package, built on top of pandas with a purpose of quickly evaluating profile quality.\n",
    "\n",
    "Currently, there are three metrics enabled:\n",
    "\n",
    "1. Replicate reproducibility - a measurment of how many profiles are above a null distribution threshold\n",
    "2. Enrichment - Fisher Exact test at a specific enrichment percentile testing if replicates are more similar than non-replicates\n",
    "3. Grit - a measurement of phenotype consistency and strength, as compared to a negative control\n",
    "\n",
    "Typically, we evaluate quality on a per-plate basis, but this is not a strict requirement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "import pandas as pd\n",
    "import plotnine as gg\n",
    "\n",
    "from pycytominer import feature_select\n",
    "from pycytominer.cyto_utils import infer_cp_features\n",
    "\n",
    "from cytominer_eval import evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60, 401)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_plate_map_name</th>\n",
       "      <th>Metadata_clone_number</th>\n",
       "      <th>Metadata_plate_ID</th>\n",
       "      <th>Metadata_plate_filename</th>\n",
       "      <th>Metadata_treatment</th>\n",
       "      <th>Metadata_treatment_time</th>\n",
       "      <th>Metadata_cell_density</th>\n",
       "      <th>Metadata_Plate</th>\n",
       "      <th>Metadata_Well</th>\n",
       "      <th>Metadata_Site_Count</th>\n",
       "      <th>...</th>\n",
       "      <th>Nuclei_Texture_InfoMeas2_Mito_20_03</th>\n",
       "      <th>Nuclei_Texture_InfoMeas2_RNA_5_02</th>\n",
       "      <th>Nuclei_Texture_InverseDifferenceMoment_AGP_20_01</th>\n",
       "      <th>Nuclei_Texture_InverseDifferenceMoment_DNA_20_03</th>\n",
       "      <th>Nuclei_Texture_InverseDifferenceMoment_ER_20_03</th>\n",
       "      <th>Nuclei_Texture_InverseDifferenceMoment_Mito_20_03</th>\n",
       "      <th>Nuclei_Texture_InverseDifferenceMoment_RNA_20_00</th>\n",
       "      <th>Nuclei_Texture_SumVariance_ER_5_01</th>\n",
       "      <th>Nuclei_Texture_SumVariance_Mito_10_00</th>\n",
       "      <th>Nuclei_Texture_SumVariance_RNA_10_02</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>218360</td>\n",
       "      <td>WT parental</td>\n",
       "      <td>218360</td>\n",
       "      <td>20200626-WTpAE-Lo</td>\n",
       "      <td>0.1% DMSO</td>\n",
       "      <td>13 hr</td>\n",
       "      <td>2.5x10^3 cells/well</td>\n",
       "      <td>218360</td>\n",
       "      <td>B02</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>0.666380</td>\n",
       "      <td>1.640270</td>\n",
       "      <td>-1.123220</td>\n",
       "      <td>-0.511368</td>\n",
       "      <td>-1.301264</td>\n",
       "      <td>-0.172448</td>\n",
       "      <td>-1.220708</td>\n",
       "      <td>1.750259</td>\n",
       "      <td>0.405271</td>\n",
       "      <td>1.982705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>218360</td>\n",
       "      <td>WT parental</td>\n",
       "      <td>218360</td>\n",
       "      <td>20200626-WTpAE-Lo</td>\n",
       "      <td>2.1 nM bortezomib</td>\n",
       "      <td>13 hr</td>\n",
       "      <td>2.5x10^3 cells/well</td>\n",
       "      <td>218360</td>\n",
       "      <td>B03</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>1.022193</td>\n",
       "      <td>0.938770</td>\n",
       "      <td>-0.321421</td>\n",
       "      <td>-1.862488</td>\n",
       "      <td>-0.175040</td>\n",
       "      <td>0.309052</td>\n",
       "      <td>-0.832363</td>\n",
       "      <td>2.854113</td>\n",
       "      <td>2.696279</td>\n",
       "      <td>2.137837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>218360</td>\n",
       "      <td>WT parental</td>\n",
       "      <td>218360</td>\n",
       "      <td>20200626-WTpAE-Lo</td>\n",
       "      <td>21 nM bortezomib</td>\n",
       "      <td>13 hr</td>\n",
       "      <td>2.5x10^3 cells/well</td>\n",
       "      <td>218360</td>\n",
       "      <td>B04</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>1.378143</td>\n",
       "      <td>0.603039</td>\n",
       "      <td>-0.322174</td>\n",
       "      <td>-2.405300</td>\n",
       "      <td>0.392906</td>\n",
       "      <td>-1.128065</td>\n",
       "      <td>-0.716326</td>\n",
       "      <td>1.869677</td>\n",
       "      <td>8.215960</td>\n",
       "      <td>1.554196</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 401 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Metadata_plate_map_name Metadata_clone_number  Metadata_plate_ID  \\\n",
       "0                   218360           WT parental             218360   \n",
       "1                   218360           WT parental             218360   \n",
       "2                   218360           WT parental             218360   \n",
       "\n",
       "  Metadata_plate_filename Metadata_treatment Metadata_treatment_time  \\\n",
       "0       20200626-WTpAE-Lo          0.1% DMSO                   13 hr   \n",
       "1       20200626-WTpAE-Lo  2.1 nM bortezomib                   13 hr   \n",
       "2       20200626-WTpAE-Lo   21 nM bortezomib                   13 hr   \n",
       "\n",
       "  Metadata_cell_density  Metadata_Plate Metadata_Well  Metadata_Site_Count  \\\n",
       "0   2.5x10^3 cells/well          218360           B02                   16   \n",
       "1   2.5x10^3 cells/well          218360           B03                   16   \n",
       "2   2.5x10^3 cells/well          218360           B04                   16   \n",
       "\n",
       "   ...  Nuclei_Texture_InfoMeas2_Mito_20_03  \\\n",
       "0  ...                             0.666380   \n",
       "1  ...                             1.022193   \n",
       "2  ...                             1.378143   \n",
       "\n",
       "   Nuclei_Texture_InfoMeas2_RNA_5_02  \\\n",
       "0                           1.640270   \n",
       "1                           0.938770   \n",
       "2                           0.603039   \n",
       "\n",
       "   Nuclei_Texture_InverseDifferenceMoment_AGP_20_01  \\\n",
       "0                                         -1.123220   \n",
       "1                                         -0.321421   \n",
       "2                                         -0.322174   \n",
       "\n",
       "   Nuclei_Texture_InverseDifferenceMoment_DNA_20_03  \\\n",
       "0                                         -0.511368   \n",
       "1                                         -1.862488   \n",
       "2                                         -2.405300   \n",
       "\n",
       "   Nuclei_Texture_InverseDifferenceMoment_ER_20_03  \\\n",
       "0                                        -1.301264   \n",
       "1                                        -0.175040   \n",
       "2                                         0.392906   \n",
       "\n",
       "   Nuclei_Texture_InverseDifferenceMoment_Mito_20_03  \\\n",
       "0                                          -0.172448   \n",
       "1                                           0.309052   \n",
       "2                                          -1.128065   \n",
       "\n",
       "   Nuclei_Texture_InverseDifferenceMoment_RNA_20_00  \\\n",
       "0                                         -1.220708   \n",
       "1                                         -0.832363   \n",
       "2                                         -0.716326   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_ER_5_01  Nuclei_Texture_SumVariance_Mito_10_00  \\\n",
       "0                            1.750259                               0.405271   \n",
       "1                            2.854113                               2.696279   \n",
       "2                            1.869677                               8.215960   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_RNA_10_02  \n",
       "0                              1.982705  \n",
       "1                              2.137837  \n",
       "2                              1.554196  \n",
       "\n",
       "[3 rows x 401 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load level 4b profiles derived from 1.profile.ipynb\n",
    "profile_file = pathlib.Path(\"profiles/218360_normalized_feature_select.csv.gz\")\n",
    "profile_df = pd.read_csv(profile_file)\n",
    "\n",
    "print(profile_df.shape)\n",
    "profile_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "390"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Distinguish metadata and morphology features\n",
    "meta_features = infer_cp_features(profile_df, metadata=True)\n",
    "morphology_features = infer_cp_features(profile_df)\n",
    "\n",
    "len(morphology_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set a variable that describes which columns to use for replicate information\n",
    "\n",
    "In our case, two columns together tell us which profiles are replicates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "replicate_groups = [\"Metadata_clone_number\", \"Metadata_treatment\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate replicate reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4583333333333333"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_reproducible = evaluate(\n",
    "    profiles=profile_df,\n",
    "    features=morphology_features,\n",
    "    meta_features=meta_features,\n",
    "    replicate_groups=replicate_groups,\n",
    "    operation=\"replicate_reproducibility\",\n",
    "    similarity_metric=\"pearson\",\n",
    ")\n",
    "\n",
    "percent_reproducible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>enrichment_percentile</th>\n",
       "      <th>threshold</th>\n",
       "      <th>ods_ratio</th>\n",
       "      <th>p-value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.99</td>\n",
       "      <td>0.891616</td>\n",
       "      <td>14.783784</td>\n",
       "      <td>1.488876e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.95</td>\n",
       "      <td>0.754933</td>\n",
       "      <td>16.687500</td>\n",
       "      <td>7.512795e-51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.90</td>\n",
       "      <td>0.653045</td>\n",
       "      <td>11.535714</td>\n",
       "      <td>5.011277e-56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.425549</td>\n",
       "      <td>8.420857</td>\n",
       "      <td>1.167407e-52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.162669</td>\n",
       "      <td>12.419355</td>\n",
       "      <td>1.085922e-46</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   enrichment_percentile  threshold  ods_ratio       p-value\n",
       "0                   0.99   0.891616  14.783784  1.488876e-12\n",
       "1                   0.95   0.754933  16.687500  7.512795e-51\n",
       "2                   0.90   0.653045  11.535714  5.011277e-56\n",
       "3                   0.75   0.425549   8.420857  1.167407e-52\n",
       "4                   0.50   0.162669  12.419355  1.085922e-46"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enrichment = evaluate(\n",
    "    profiles=profile_df,\n",
    "    features=morphology_features,\n",
    "    meta_features=meta_features,\n",
    "    replicate_groups=replicate_groups,\n",
    "    operation=\"enrichment\",\n",
    "    similarity_metric=\"pearson\",\n",
    "    enrichment_percentile=[0.99, 0.95, 0.9, 0.75, 0.5]\n",
    ")\n",
    "\n",
    "enrichment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate replicate enrichment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate grit\n",
    "\n",
    "In this plate, it doesn't make sense to calculate grit.\n",
    "Instead, we use all CRISPR perturbations from the [Cell Health](https://github.com/broadinstitute/cell-health) experiment.\n",
    "\n",
    "### Grit intuition\n",
    "\n",
    "Grit can be calculated in the scenario where there is some sort of replicate hierarchy.\n",
    "\n",
    "For example, grit can be calculated in the following scenarios:\n",
    "\n",
    "| Scenario | Group ID | Replicate ID |\n",
    "| :------- | :------- | :----------- |\n",
    "| CRISPR perturbation | Gene target | Guide ID |\n",
    "| Compound treatment | Mechanism of action | Compound ID |\n",
    "| Single cell (scGrit) | Replicate ID | Single cell profile |\n",
    "\n",
    "We can interpret grit to mean _phenotype strength_.\n",
    "A high grit score indicates that the replicate ID is a) similar to other perturbations in the group; b) different compared to a non-targeting control.\n",
    "Refer to https://github.com/broadinstitute/grit-benchmark for more details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3456, 956)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_Plate</th>\n",
       "      <th>Metadata_Well</th>\n",
       "      <th>Metadata_WellCol</th>\n",
       "      <th>Metadata_WellRow</th>\n",
       "      <th>Metadata_cell_line</th>\n",
       "      <th>Metadata_gene_name</th>\n",
       "      <th>Metadata_pert_name</th>\n",
       "      <th>Cells_AreaShape_Center_Y</th>\n",
       "      <th>Cells_AreaShape_Compactness</th>\n",
       "      <th>Cells_AreaShape_Eccentricity</th>\n",
       "      <th>...</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_AGP_20_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_AGP_5_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_10_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_5_0</th>\n",
       "      <th>Nuclei_Texture_Variance_AGP_5_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_10_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_5_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SQ00014618</td>\n",
       "      <td>A01</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>HCC44</td>\n",
       "      <td>EMPTY</td>\n",
       "      <td>EMPTY</td>\n",
       "      <td>-0.894997</td>\n",
       "      <td>-1.515696</td>\n",
       "      <td>-1.787667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.107581</td>\n",
       "      <td>-0.659049</td>\n",
       "      <td>-0.676846</td>\n",
       "      <td>-1.229791</td>\n",
       "      <td>-1.336051</td>\n",
       "      <td>-1.125138</td>\n",
       "      <td>-0.972360</td>\n",
       "      <td>-1.393856</td>\n",
       "      <td>-1.244227</td>\n",
       "      <td>-1.308729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SQ00014618</td>\n",
       "      <td>A02</td>\n",
       "      <td>2</td>\n",
       "      <td>A</td>\n",
       "      <td>HCC44</td>\n",
       "      <td>MCL1</td>\n",
       "      <td>MCL1-5</td>\n",
       "      <td>-0.479926</td>\n",
       "      <td>0.246423</td>\n",
       "      <td>0.629901</td>\n",
       "      <td>...</td>\n",
       "      <td>0.165935</td>\n",
       "      <td>1.999006</td>\n",
       "      <td>1.204036</td>\n",
       "      <td>0.560228</td>\n",
       "      <td>0.686189</td>\n",
       "      <td>0.601634</td>\n",
       "      <td>1.154001</td>\n",
       "      <td>0.596441</td>\n",
       "      <td>0.680359</td>\n",
       "      <td>0.715469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 956 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Metadata_Plate Metadata_Well  Metadata_WellCol Metadata_WellRow  \\\n",
       "0     SQ00014618           A01                 1                A   \n",
       "1     SQ00014618           A02                 2                A   \n",
       "\n",
       "  Metadata_cell_line Metadata_gene_name Metadata_pert_name  \\\n",
       "0              HCC44              EMPTY              EMPTY   \n",
       "1              HCC44               MCL1             MCL1-5   \n",
       "\n",
       "   Cells_AreaShape_Center_Y  Cells_AreaShape_Compactness  \\\n",
       "0                 -0.894997                    -1.515696   \n",
       "1                 -0.479926                     0.246423   \n",
       "\n",
       "   Cells_AreaShape_Eccentricity  ...  Nuclei_Texture_SumEntropy_RNA_5_0  \\\n",
       "0                     -1.787667  ...                           0.107581   \n",
       "1                      0.629901  ...                           0.165935   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_AGP_20_0  Nuclei_Texture_SumVariance_AGP_5_0  \\\n",
       "0                            -0.659049                           -0.676846   \n",
       "1                             1.999006                            1.204036   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_DNA_10_0  Nuclei_Texture_SumVariance_DNA_20_0  \\\n",
       "0                            -1.229791                            -1.336051   \n",
       "1                             0.560228                             0.686189   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_DNA_5_0  Nuclei_Texture_Variance_AGP_5_0  \\\n",
       "0                           -1.125138                        -0.972360   \n",
       "1                            0.601634                         1.154001   \n",
       "\n",
       "   Nuclei_Texture_Variance_DNA_10_0  Nuclei_Texture_Variance_DNA_20_0  \\\n",
       "0                         -1.393856                         -1.244227   \n",
       "1                          0.596441                          0.680359   \n",
       "\n",
       "   Nuclei_Texture_Variance_DNA_5_0  \n",
       "0                        -1.308729  \n",
       "1                         0.715469  \n",
       "\n",
       "[2 rows x 956 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load Cell Health data\n",
    "commit = \"07e4b40c39dd27084be36fbef4d64c5654b2960f\"\n",
    "base_url = f\"https://github.com/broadinstitute/cell-health/raw/{commit}\"\n",
    "url = f\"{base_url}/1.generate-profiles/data/processed/cell_health_profiles_merged.tsv.gz\"\n",
    "\n",
    "df = pd.read_csv(url, sep=\"\\t\")\n",
    "\n",
    "print(df.shape)\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Perform feature selection on all Cell Health profiles\n",
    "feature_select_ops = [\n",
    "    \"variance_threshold\",\n",
    "    \"correlation_threshold\",\n",
    "    \"drop_na_columns\",\n",
    "    \"blocklist\",\n",
    "    \"drop_outliers\",\n",
    "]\n",
    "\n",
    "df = feature_select(\n",
    "    profiles=df,\n",
    "    operation=feature_select_ops,\n",
    "    na_cutoff=0\n",
    ")\n",
    "\n",
    "features = infer_cp_features(df)\n",
    "meta_features = infer_cp_features(df, metadata=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Chr2-1',\n",
       " 'Chr2-4',\n",
       " 'Chr2-5',\n",
       " 'Chr2-2',\n",
       " 'Luc-1',\n",
       " 'LacZ-3',\n",
       " 'Luc-2',\n",
       " 'LacZ-2',\n",
       " 'Chr2-3',\n",
       " 'Chr2-6']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Define group and replicate IDs\n",
    "barcode_col = \"Metadata_pert_name\"\n",
    "gene_col = \"Metadata_gene_name\"\n",
    "\n",
    "replicate_group_grit = {\n",
    "    \"profile_col\": barcode_col,\n",
    "    \"replicate_group_col\": gene_col\n",
    "}\n",
    "\n",
    "control_group_cut = [\"Chr2\", \"Luc\", \"LacZ\"]\n",
    "\n",
    "control_barcodes_cut = (\n",
    "    df.loc[\n",
    "        df[replicate_group_grit[\"replicate_group_col\"]].isin(control_group_cut),\n",
    "        replicate_group_grit[\"profile_col\"]\n",
    "    ]\n",
    "    .unique()\n",
    "    .tolist()\n",
    ")\n",
    "\n",
    "control_barcodes_cut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(339, 4)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>perturbation</th>\n",
       "      <th>group</th>\n",
       "      <th>grit</th>\n",
       "      <th>cell_line</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ITGAV-2</td>\n",
       "      <td>ITGAV</td>\n",
       "      <td>3.899438</td>\n",
       "      <td>HCC44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ITGAV-1</td>\n",
       "      <td>ITGAV</td>\n",
       "      <td>3.775598</td>\n",
       "      <td>HCC44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MYC-1</td>\n",
       "      <td>MYC</td>\n",
       "      <td>3.458591</td>\n",
       "      <td>ES2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MYC-2</td>\n",
       "      <td>MYC</td>\n",
       "      <td>3.264185</td>\n",
       "      <td>ES2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CCND1-2</td>\n",
       "      <td>CCND1</td>\n",
       "      <td>3.254757</td>\n",
       "      <td>ES2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  perturbation  group      grit cell_line\n",
       "0      ITGAV-2  ITGAV  3.899438     HCC44\n",
       "1      ITGAV-1  ITGAV  3.775598     HCC44\n",
       "2        MYC-1    MYC  3.458591       ES2\n",
       "3        MYC-2    MYC  3.264185       ES2\n",
       "4      CCND1-2  CCND1  3.254757       ES2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate grit per cell line\n",
    "grit_results = []\n",
    "for cell_line in df.Metadata_cell_line.unique():\n",
    "    result = evaluate(\n",
    "        profiles=df.query(\"Metadata_cell_line == @cell_line\"),\n",
    "        features=features,\n",
    "        meta_features=[barcode_col, gene_col],\n",
    "        replicate_groups=replicate_group_grit,\n",
    "        operation=\"grit\",\n",
    "        grit_control_perts=control_barcodes_cut\n",
    "    )\n",
    "    \n",
    "    result = result.assign(cell_line=cell_line)\n",
    "\n",
    "    grit_results.append(result)\n",
    "\n",
    "# Merge results\n",
    "grit_results = (\n",
    "    pd.concat(grit_results)\n",
    "    .sort_values(by=\"grit\", ascending=False)\n",
    "    .reset_index(drop=True)\n",
    "    .dropna()\n",
    ")\n",
    "\n",
    "print(grit_results.shape)\n",
    "grit_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 600,
       "width": 900
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure Size: (900 x 600)>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize grit results\n",
    "gg.options.figure_size = (9, 6)\n",
    "\n",
    "(\n",
    "    gg.ggplot(grit_results, gg.aes(x=\"reorder(group, grit)\", y=\"grit\", fill=\"cell_line\")) +\n",
    "    gg.geom_point() +\n",
    "    gg.theme_bw() +\n",
    "    gg.theme(axis_text_x=gg.element_text(angle=90)) +\n",
    "    gg.xlab(\"Gene\") +\n",
    "    gg.ylab(\"Grit\")\n",
    ")"
   ]
  }
 ],
 "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}