{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e2205cee",
   "metadata": {},
   "source": [
    "# Analyzing Gene-to-GP Cosine Similarity\n",
    "\n",
    "This tutorial demonstrates how to identify and visualize genes that are most relevant to specific gene programs (GPs) in different cell types. This analysis helps answer:\n",
    "\n",
    "1. **Which genes drive GP activity?** - Identify genes with high similarity to a GP's embedding\n",
    "2. **How do genes differ between cell types?** - Find genes that are differentially associated with a GP across cell types\n",
    "\n",
    "\n",
    "## What is Gene-to-GP Cosine Similarity?\n",
    "\n",
    "For each gene program, we compute the **cosine similarity** between:\n",
    "- Each gene's embedding (learned representation in the GP space)\n",
    "- The GP's embedding itself\n",
    "\n",
    "**High similarity** = Gene is strongly aligned with/represented by that GP\n",
    "**Low similarity** = Gene is not important for that GP\n",
    "\n",
    "This reveals which genes are most important for each gene program in eahc cell type\n",
    "\n",
    "## Prerequisites\n",
    "- Completed model training and gene embedding analysis\n",
    "- Gene-to-GP cosine similarities computed and saved in `output_global/gene_embeddings_analysis/`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "163ca070",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scanpy as sc\n",
    "import pandas as pd\n",
    "from gplearner.Evaluate.downstream import calculate_gene_significance, plot_top_genes\n",
    "import numpy as np\n",
    "import anndata as ad\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b604e2f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "matplotlib.rcParams['pdf.fonttype'] = 42  # Use TrueType fonts (editable text in PDFs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65cc8356",
   "metadata": {},
   "source": [
    "## 2. Load Gene-to-GP Cosine Similarity Data\n",
    "\n",
    "### 2.1 Define Loading Function\n",
    "\n",
    "The gene-to-GP similarity data is stored as AnnData objects where:\n",
    "- **Observations (rows)**: Individual cells\n",
    "- **Variables (columns)**: Genes\n",
    "- **Data matrix (X)**: Cosine similarity between each gene and the GP for each cell\n",
    "\n",
    "Here, we are examining FOXO3 which was identified as being important in cDC2 in the previous step, but you can replace with any GP of interest. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58cdc64d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_adata(run):\n",
    "    \"\"\"\n",
    "    Load gene-to-GP cosine similarity data for all data splits.\n",
    "    \n",
    "    Parameters:\n",
    "    -----------\n",
    "    run : str\n",
    "        Run identifier (e.g., 'run_1', 'run_2', 'run_3') for multi-run averaging\n",
    "        Note: Currently not used in file path, but kept for multi-run compatibility\n",
    "        \n",
    "    Returns:\n",
    "    --------\n",
    "    adata : AnnData\n",
    "        Concatenated data with gene-to-GP similarities across all splits\n",
    "    \"\"\"\n",
    "    holder = []\n",
    "    base_path = 'path/to/your/folder/07_tutorial_zeng/output_global/gene_embeddings_analysis'\n",
    "    \n",
    "    # Load data from train, validation, and test splits\n",
    "    for t in ['train', 'val', 'test']:\n",
    "        # NOTE: This path is specific to GP_FOXO3 analysis\n",
    "        # To analyze other GPs, modify this path (e.g., GP_GATA1_dendritic_cells/)\n",
    "        filename_1 = f'GP_FOXO3_dendritic_cells/gene_to_GP_FOXO3_cosine_similarity_{t}_set.h5ad'\n",
    "        \n",
    "        holder.append(\n",
    "            sc.read_h5ad(os.path.join(base_path, filename_1))\n",
    "        )\n",
    "    \n",
    "    # Concatenate all splits\n",
    "    adata = ad.concat(holder)    \n",
    "    \n",
    "    return adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "320dc824",
   "metadata": {},
   "source": [
    "**Multi-run Averaging Option**:\n",
    "- In the main Tripso paper, we train the model 3 times with different seeds\n",
    "- Load each run and average the cosine similarities\n",
    "- This reduces stochastic noise from training\n",
    "\n",
    "**Single-run Option** (used here):\n",
    "- Faster for exploratory analysis\n",
    "- Suitable for tutorials and initial investigation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eca5464c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/software/cellgen/team292/mm58/venvs/lightning2/lib/python3.10/site-packages/anndata/_core/anndata.py:1754: Observation names are not unique. To make them unique, call `.obs_names_make_unique`.\n"
     ]
    }
   ],
   "source": [
    "# Load data from a single run (tutorial mode)\n",
    "run1 = load_adata('run_1')\n",
    "\n",
    "# For publication: load multiple runs and average (commented out)\n",
    "# run2 = load_adata('run_2')\n",
    "# run3 = load_adata('run_3')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d5f4dbb",
   "metadata": {},
   "source": [
    "### Optionally Average Multiple Runs\n",
    "\n",
    "If you have multiple training runs, average the similarity scores for increased robustness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1f67c95a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 16668 × 196\n",
       "    obs: 'length', 'AuthorCellType', 'AuthorCellType_Broad', 'cell_type', 'Sorting', 'Study', 'donor', 'sex', 'development_stage', 'age_group', 'n_counts', 'idx', 'batch_key', 'cell_type_id', 'age_group_id', 'batch_key_id'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Option 1: Average across multiple runs (recommended for publication)\n",
    "# adata = sc.AnnData(\n",
    "#     X = (run1.X + run2.X + run3.X)/3,  # Average similarity scores\n",
    "#     obs = run1.obs,                     # Use metadata from run1 (same across runs)\n",
    "#     var = run1.var                      # Gene names (same across runs)\n",
    "# )\n",
    "\n",
    "# Option 2: Use single run (tutorial mode)\n",
    "adata = run1\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "411aa56e",
   "metadata": {},
   "source": [
    "### 3. Comparison: pDC vs. cDC\n",
    "\n",
    "**Goal**: Identify genes that are differentially similar to GP_FOXO3 between plasmacytoid DCs and conventional DC.\n",
    "\n",
    "**Parameters**:\n",
    "- `obs_value_ref=\"cDC\"`: Reference population (baseline)\n",
    "- `obs_value_query=\"pDC\"`: Query population (comparison)\n",
    "- `adata_gene_threshold=0.9`: drop genes which are 0 in >90% of cells\n",
    "\n",
    "**Interpretation**:\n",
    "- Positive values = Genes with higher GP_FOXO3 similarity in pDC\n",
    "- Negative values = Genes with higher GP_FOXO3 similarity in cDC2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "917a84fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate differential gene-to-GP similarity between pDC and cDC2\n",
    "res = calculate_gene_significance(\n",
    "    adata,\n",
    "    obs_col=\"AuthorCellType_Broad\",           # Column containing cell type annotations\n",
    "    obs_value_ref=\"cDC\",           # Reference cell type (baseline)\n",
    "    obs_value_query=\"pDC\",          # Query cell type (comparison)\n",
    "    adata_gene_threshold=0.9,       # Filter: keep genes detected in ≥90% of cells\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce3ae2bf",
   "metadata": {},
   "source": [
    "### Visualize Top Differentially Similar Genes (pDC vs. cDC2)\n",
    "\n",
    "Create a bar plot showing the top genes with differential GP_FOXO3 similarity between pDC and cDC2.\n",
    "\n",
    "**Visualization Parameters**:\n",
    "- `topn=10`: Show top 10 genes\n",
    "- `show_significance=False`: Don't add stars for genes reaching statistically significance\n",
    "- `color_scheme='significance'`: Color by significance (-log10 adjusted p-value)\n",
    "- `significance_palette`: Custom colors for significance (darker = more significant)\n",
    "- `palette_as_gradient=True`: Use significance color gradient rather than color blocks\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "54a4c85d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/team361/mm58/gplearner/gplearner/Evaluate/downstream.py:2196: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  axs[1, 0].set_yticklabels(yticklabels)\n",
      "/nfs/team361/mm58/gplearner/gplearner/Evaluate/downstream.py:2281: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  axs[1, 1].set_yticklabels(yticklabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize top genes differentially associated with GP_FOXO3 in pDC vs. cDC2\n",
    "plot_top_genes(\n",
    "    res,\n",
    "    obs_value_ref=\"cDC\",\n",
    "    obs_value_query=\"pDC\",\n",
    "    show_significance=False,                        # Hide significance stars\n",
    "    color_scheme='significance',                    # Color by effect size\n",
    "    significance_palette=['lightsteelblue', 'teal'], # Color gradient\n",
    "    palette_as_gradient=True,                       # Smooth gradient\n",
    "    topn=10,                                        # Display top 10 genes\n",
    "    figsize=(9, 7),\n",
    "    # save_to='GP_FOXO3_pDC_vs_cDC2.pdf'            # Uncomment to save figure\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "lightning",
   "language": "python",
   "name": "lightning"
  },
  "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": 5
}