{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Metrics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading Packages" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import scanpy as sc\n", "import squidpy as sq\n", "import uuid\n", "\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading Results" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# List of slice names\n", "slices = ['ATAC', 'H3K4me3', 'H3K27ac', 'H3K27me3']\n", "# List of methods\n", "methods = ['SpatialCOC', 'COSMOS', 'SpatialGlue', 'MultiVI', 'MultiMAP', 'STAGATE', 'SpaGCN', 'Modality1', 'Modality2']\n", "# Create a dictionary to store data for each slice\n", "adata_results = {}\n", "\n", "# Load data and store it\n", "for slice_name in slices:\n", " path = f'../../Mouse_Brain_{slice_name}.h5ad'\n", " result = sc.read_h5ad(path) # Assuming 'sc' is the Scanpy library\n", " adata_results[slice_name] = result" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'ATAC': AnnData object with n_obs × n_vars = 9196 × 0\n", " obs: 'SpatialCOC', 'SpatialGlue', 'SpaGCN', 'STAGATE', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'COSMOS'\n", " obsm: 'COSMOS', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'STAGATE', 'SpatialCOC', 'SpatialGlue', 'spatial',\n", " 'H3K4me3': AnnData object with n_obs × n_vars = 9513 × 0\n", " obs: 'SpatialCOC', 'SpatialGlue', 'SpaGCN', 'STAGATE', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'COSMOS'\n", " obsm: 'COSMOS', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'STAGATE', 'SpatialCOC', 'SpatialGlue', 'spatial',\n", " 'H3K27ac': AnnData object with n_obs × n_vars = 9323 × 0\n", " obs: 'SpatialCOC', 'SpatialGlue', 'SpaGCN', 'STAGATE', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'COSMOS'\n", " obsm: 'COSMOS', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'STAGATE', 'SpatialCOC', 'SpatialGlue', 'spatial',\n", " 'H3K27me3': AnnData object with n_obs × n_vars = 9732 × 0\n", " obs: 'SpatialCOC', 'SpatialGlue', 'SpaGCN', 'STAGATE', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'COSMOS'\n", " obsm: 'COSMOS', 'Modality1', 'Modality2', 'MultiMAP', 'MultiVI', 'STAGATE', 'SpatialCOC', 'SpatialGlue', 'spatial'}" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata_results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculating Moran's I Score" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Dictionary to store Moran's I scores for each slice\n", "moran_scores = {}\n", "\n", "# Iterate over each slice and its corresponding data\n", "for slice_name, adata in adata_results.items():\n", " print(slice_name)\n", " # Construct the spatial graph (adjust parameters based on the data type)\n", " sq.gr.spatial_neighbors(adata, coord_type='grid') # or 'generic'\n", " moran_scores[slice_name] = {}\n", " \n", " # Iterate over each method\n", " for method in methods:\n", " # Skip if the method is not present in the observation columns\n", " if method not in adata.obs.columns:\n", " continue\n", " \n", " # Get the cluster information for the current method\n", " cluster = adata.obs[method]\n", " # Get unique categories, ignoring NaN values\n", " categories = cluster.dropna().unique()\n", " moran_scores[slice_name][method] = {}\n", " \n", " # Iterate over each category\n", " for category in categories:\n", " # Create a mask for the current category\n", " mask = cluster == category\n", " # Generate a unique temporary column name\n", " temp_col = f\"temp_{uuid.uuid4().hex}\"\n", " \n", " try:\n", " # Add the mask as a new column in the observation DataFrame\n", " adata.obs[temp_col] = mask.astype(int)\n", " # Calculate Moran's I spatial autocorrelation\n", " sq.gr.spatial_autocorr(\n", " adata,\n", " mode=\"moran\",\n", " n_perms=100, # Number of permutations for significance testing\n", " attr=\"obs\", # Attribute type (observations)\n", " genes=[temp_col], # Use the temporary column name\n", " n_jobs=4, # Number of jobs to run in parallel\n", " seed=2024 # Random seed for reproducibility\n", " )\n", " # Retrieve the Moran's I score from the results\n", " score = adata.uns['moranI'].loc[temp_col, 'I']\n", " # Store the score in the dictionary\n", " moran_scores[slice_name][method][category] = score\n", " finally:\n", " # Clean up: Remove the temporary column\n", " if temp_col in adata.obs:\n", " del adata.obs[temp_col]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Storing the Results as an Excel" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# Function to convert category keys to integers and sort them in ascending order\n", "def convert_and_sort_categories(moran_scores):\n", " for slice_name, methods in moran_scores.items():\n", " for method, categories in methods.items():\n", " # Convert category keys to integers and sort them\n", " sorted_categories = {\n", " int(k): v for k, v in sorted(categories.items(), key=lambda x: int(x[0]))\n", " }\n", " moran_scores[slice_name][method] = sorted_categories\n", " return moran_scores\n", "\n", "# Convert category keys to integers and sort them\n", "moran_scores = convert_and_sort_categories(moran_scores)\n", "\n", "# Create an Excel file\n", "with pd.ExcelWriter(\"moran_scores_output.xlsx\") as writer:\n", " # Dictionary to store the average values for all slices\n", " all_averages = {}\n", " \n", " for slice_name, methods in moran_scores.items():\n", " # Convert to DataFrame (each row represents a method, column names are categories)\n", " df = pd.DataFrame.from_dict(methods, orient=\"index\")\n", " \n", " # Calculate the mean value for each row\n", " averages = df.mean(axis=1)\n", " all_averages[slice_name] = averages\n", " \n", " # Clean the sheet name (Excel limit: max 31 characters, no special symbols)\n", " sheet_name = str(slice_name)\\\n", " .replace(\":\", \"_\").replace(\"/\", \"_\")[:31]\n", " \n", " # Write to Excel (missing values are represented as empty strings)\n", " df.to_excel(\n", " writer,\n", " sheet_name=sheet_name,\n", " na_rep=\"\",\n", " index_label=\"Method\"\n", " )\n", " \n", " # Store the average values of all slices in a new sheet\n", " averages_df = pd.DataFrame.from_dict(all_averages, orient=\"index\")\n", " \n", " # Transpose the averages DataFrame so that each row corresponds to a slice and each column corresponds to a method's average value\n", " averages_df = averages_df.transpose()\n", " \n", " # Write the averages sheet\n", " averages_df.to_excel(\n", " writer,\n", " sheet_name=\"Averages\",\n", " index_label=\"Method\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualizing" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ATAC best_median = 0.2847066542959066\n", "Drawn & saved Moran_Score for ATAC\n", "H3K4me3 best_median = 0.47457344592983886\n", "Drawn & saved Moran_Score for H3K4me3\n", "H3K27ac best_median = 0.32334005810037175\n", "Drawn & saved Moran_Score for H3K27ac\n", "H3K27me3 best_median = 0.557823553312141\n", "Drawn & saved Moran_Score for H3K27me3\n", "Averages best_median = 0.3352283476530922\n", "Drawn & saved Moran_Score for Averages\n" ] }, { "data": { "image/png": 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", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import os\n", "\n", "methods = ['SpatialCOC', 'COSMOS', 'SpatialGlue', 'MultiVI', 'MultiMAP', 'STAGATE', 'SpaGCN']\n", "colors = ['#D0836F', '#df871b', '#E4BE64', '#87AC9A', '#9B8169', '#8D8E99', '#F5ECBA']\n", "\n", "y_min, y_max = -0.02, 1.02\n", "fontsize = 24\n", "plt.rcParams['font.sans-serif'] = ['Arial']\n", "plt.rcParams['font.size'] = fontsize\n", "\n", "file_path = 'moran_scores_output.xlsx'\n", "xls = pd.ExcelFile(file_path)\n", "slices = xls.sheet_names\n", "\n", "def extract_valid_values(df, method_name):\n", " rows = df.loc[df['Method'] == method_name].drop(columns=['Method'])\n", " vals = []\n", " for col in rows.columns:\n", " for v in rows[col]:\n", " if pd.notna(v) and str(v).strip() != '':\n", " try:\n", " vals.append(float(v))\n", " except ValueError:\n", " continue\n", " return np.array(vals)\n", "\n", "for slice_name in slices:\n", " df = pd.read_excel(xls, sheet_name=slice_name)\n", "\n", " data = []\n", " for method in methods:\n", " vals = extract_valid_values(df, method)\n", " if vals.size > 0:\n", " data.append(vals)\n", "\n", " if not data:\n", " print(f'No valid data for {slice_name}, skipping...')\n", " continue\n", "\n", " # ---- Modality1/2 median ----\n", " modality1_data = extract_valid_values(df, 'Modality1')\n", " modality2_data = extract_valid_values(df, 'Modality2')\n", " median_modality1 = np.median(modality1_data) if modality1_data.size else None\n", " median_modality2 = np.median(modality2_data) if modality2_data.size else None\n", "\n", " if median_modality1 is not None and median_modality2 is not None:\n", " best_median = max(median_modality1, median_modality2) # 按你原逻辑\n", " else:\n", " best_median = None\n", " print(slice_name, 'best_median =', best_median)\n", " # ---- Plot ----\n", " plt.figure(figsize=(5, 5))\n", " bp = plt.boxplot(data, patch_artist=True,\n", " boxprops=dict(linewidth=1, edgecolor='black'),\n", " medianprops=dict(linewidth=1, color='black'),\n", " whiskerprops=dict(linewidth=1, color='black'),\n", " capprops=dict(linewidth=1, color='black'),\n", " widths=0.85, showfliers=False)\n", "\n", " for patch, color in zip(bp['boxes'], colors[:len(data)]):\n", " patch.set_facecolor(color)\n", "\n", " plt.xticks([])\n", " plt.ylim(y_min, y_max)\n", " plt.ylabel(\"Moran's I Score\", fontsize=fontsize)\n", " for spine in plt.gca().spines.values():\n", " spine.set_linewidth(2)\n", " plt.grid(axis='y', color='gray', linestyle='--', alpha=1, linewidth=1.5, zorder=-10)\n", " for x in range(1, len(data) + 1):\n", " plt.axvline(x=x, color='gray', linestyle='--', alpha=1, linewidth=1.5, zorder=-10)\n", " if best_median is not None:\n", " plt.axhline(y=best_median, color='#FF0000', linestyle='--', linewidth=2.5, zorder=10)\n", "\n", " plt.tight_layout(pad=0.1, rect=[0, 0, 1, 1])\n", "\n", " # ---- Save ----\n", " save_dir = './' if slice_name == 'Averages' else f'./{slice_name}/'\n", " os.makedirs(save_dir, exist_ok=True)\n", " plt.savefig(save_dir + 'Moran_Score.png', dpi=500)\n", " plt.savefig(save_dir + 'Moran_Score.eps')\n", "\n", " print(f'Drawn & saved Moran_Score for {slice_name}')" ] } ], "metadata": { "kernelspec": { "display_name": "SpaKnit", "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": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 2 }