diff --git a/D4GEN_CNN.ipynb b/D4GEN_CNN.ipynb new file mode 100644 index 0000000..216f0c6 --- /dev/null +++ b/D4GEN_CNN.ipynb @@ -0,0 +1,635 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "sqD_ve1G0mVJ" + }, + "source": [ + "# Import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "kfjANA7E0kRs" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import scipy\n", + "from scipy.stats import spearmanr\n", + "\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt \n", + "import matplotlib.gridspec as gridspec\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "import keras\n", + "import keras.backend as K\n", + "\n", + "import tensorflow as tf\n", + "from tensorflow.keras.optimizers import SGD" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-RNTzsyg0zNf" + }, + "source": [ + "# Mount drive" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6n1opBzo0vpd", + "outputId": "68c4fdbb-4d25-4ec7-c9b6-9a52706641c4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mounted at /content/drive\n" + ] + } + ], + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dLCYPahPW0Ov" + }, + "source": [ + "## Define correlation metric" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "mldG440tVGf-" + }, + "outputs": [], + "source": [ + "def correlate(y_true, y_pred):\n", + " \"\"\"\n", + "\t\tCalculate the correlation between the predictions and the labels.\n", + "\t\t:Example:\n", + "\t\t>>> model.compile(optimizer = 'adam', losses = correlate)\n", + "\t\t>>> load_model('file', custom_objects = {'correlate : correlate})\n", + "\t\"\"\"\n", + " X = y_true - K.mean(y_true)\n", + " Y = y_pred - K.mean(y_pred)\n", + " \n", + " sigma_XY = K.sum(X*Y)\n", + " sigma_X = K.sqrt(K.sum(X*X))\n", + " sigma_Y = K.sqrt(K.sum(Y*Y))\n", + " \n", + " return sigma_XY/(sigma_X*sigma_Y + K.epsilon())" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "gQSVDvhC8g6J" + }, + "outputs": [], + "source": [ + "def spearman(y_true, y_pred):\n", + " return ( tf.py_function(spearmanr, [tf.cast(y_pred, tf.float32), \n", + " tf.cast(y_true, tf.float32)], Tout = tf.float32) )" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "re4Iu0kUXhz4" + }, + "source": [ + "## Define plotting functions" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "id": "lXxJBcAVXkP1" + }, + "outputs": [], + "source": [ + "def plot_loss(history):\n", + " plt.plot(history.history['correlate'], label='train')\n", + " plt.plot(history.history['val_correlate'], label='valid')\n", + " # plt.ylim([0, 10])\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Correlation score')\n", + " plt.legend()\n", + " plt.grid(True)\n", + " plt.title('Correlation score over learning epochs')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dyxtEItV01lb" + }, + "source": [ + "# Set paths" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "VoJf3Ory025c" + }, + "outputs": [], + "source": [ + "patches_file = \"/content/drive/MyDrive/D4GEN/D4GEN_data/mat_5725_patches.npy\"\n", + "transcription_levels = \"/content/drive/MyDrive/D4GEN/D4GEN_data/tr_5725_levels.npy\"\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Z24QYucvW9n3" + }, + "source": [ + "## Reshape data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "J3lqOlzL2PVi", + "outputId": "ca427225-5b2e-46a7-8ff0-01a60b4d7139" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of X : (114500, 20)\n", + "Shape of y : (5725,)\n", + "Reshape X\n", + "Shape of X_r : (5725, 20, 20, 1)\n", + "Shape of y_r : (5725, 1)\n" + ] + } + ], + "source": [ + "X = np.load(patches_file)\n", + "y = np.load(transcription_levels)\n", + "\n", + "\n", + "X_r = X.reshape((5725,20, 20,1))\n", + "y_r = y.reshape((5725,1))\n", + "\n", + "\n", + "\n", + "print(f\"Shape of X_r : {X_r.shape}\")\n", + "print(f\"Shape of y_r : {y_r.shape}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "w7qoV6DkXCn1" + }, + "source": [ + "## Show some data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 480 + }, + "id": "u06dzW_TPljB", + "outputId": "8bef6f78-04c7-4a3c-8c78-ff98e2d7dd97" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(15, 6))\n", + "grid = gridspec.GridSpec(2, 6)\n", + "\n", + "last_has_cactus_img_name = X_r[-12:]\n", + "\n", + "for idx, img_name in enumerate(last_has_cactus_img_name):\n", + " ax = plt.subplot(grid[idx])\n", + " ax.imshow(X_r[idx], cmap = \"afmhot_r\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "MUJTGhU7Oxe8" + }, + "source": [ + "## Normalized data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "dPz6HDd5Oz4A" + }, + "outputs": [], + "source": [ + "X_r = np.divide(np.log1p(X_r) - np.min(np.log1p(X_r)), np.max(np.log1p(X_r)) - np.min(np.log1p(X_r)))\n", + "\n", + "y_r = np.log1p(y_r)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WmHmNcQr2b8Z" + }, + "source": [ + "## Plot some normalized data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 480 + }, + "id": "yshVCFME2au_", + "outputId": "5e3d8322-2ff0-498d-f13f-92c5e045e3f1" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(15, 6))\n", + "grid = gridspec.GridSpec(2, 6)\n", + "\n", + "last_has_cactus_img_name = X_r[-12:]\n", + "\n", + "for idx, img_name in enumerate(last_has_cactus_img_name):\n", + " ax = plt.subplot(grid[idx])\n", + " ax.imshow(X_r[idx], cmap = \"afmhot_r\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AA79b6dX2j2c" + }, + "source": [ + "## Split data" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NDzN7r8B4gUm", + "outputId": "103c4abb-feed-4b89-9d36-1976f973ad08" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of X_r_c_train : (5525, 20, 20, 1)\n", + "Shape of y_r_c_train : (5525, 1)\n", + "Shape of X_r_c_test : (199, 20, 20, 1)\n", + "Shape of y_r_c_test : (199, 1)\n" + ] + } + ], + "source": [ + "X_r_c_train = X_r[0:5724-199]\n", + "y_r_c_train = y_r[0:5724-199]\n", + "\n", + "print(f'Shape of X_r_c_train : {X_r_c_train.shape}')\n", + "print(f'Shape of y_r_c_train : {y_r_c_train.shape}')\n", + "\n", + "\n", + "\n", + "X_r_c_test = X_r[-199:]\n", + "y_r_c_test = y_r[-199:]\n", + "\n", + "print(f'Shape of X_r_c_test : {X_r_c_test.shape}')\n", + "print(f'Shape of y_r_c_test : {y_r_c_test.shape}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ygi9dGiE2gZ5" + }, + "source": [ + "## Define model" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NO6qgNEm2mie", + "outputId": "9424c3ca-4c97-490d-a82a-ac54adf9bf8d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_1\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " conv2d_2 (Conv2D) (None, 19, 19, 16) 80 \n", + " \n", + " max_pooling2d_2 (MaxPooling (None, 9, 9, 16) 0 \n", + " 2D) \n", + " \n", + " conv2d_3 (Conv2D) (None, 8, 8, 16) 1040 \n", + " \n", + " max_pooling2d_3 (MaxPooling (None, 4, 4, 16) 0 \n", + " 2D) \n", + " \n", + " flatten_1 (Flatten) (None, 256) 0 \n", + " \n", + " dense_2 (Dense) (None, 128) 32896 \n", + " \n", + " dense_3 (Dense) (None, 1) 129 \n", + " \n", + "=================================================================\n", + "Total params: 34,145\n", + "Trainable params: 34,145\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "######## New model #######\n", + "\n", + "model = tf.keras.Sequential([\n", + " tf.keras.layers.Conv2D(16, 2, activation='relu', input_shape = (20, 20, 1)),\n", + " tf.keras.layers.MaxPooling2D(),\n", + " tf.keras.layers.Conv2D(16, 2, activation='relu'),\n", + " tf.keras.layers.MaxPooling2D(),\n", + " tf.keras.layers.Flatten(),\n", + " tf.keras.layers.Dense(128, activation='relu'),\n", + " tf.keras.layers.Dense(1, activation='relu')\n", + "])\n", + "\n", + "\n", + "model.compile(tf.keras.optimizers.RMSprop(0.001),\n", + " loss='mse',\n", + " metrics=[correlate, spearman])\n", + "\n", + "\n", + "model.summary()\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "97MQWLTN2gXE" + }, + "source": [ + "## Train Model" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "BDicSuxY2n3V" + }, + "outputs": [], + "source": [ + "history = model.fit(\n", + " X_r_c_train,\n", + " y_r_c_train,\n", + " epochs=250,\n", + " # Suppress logging.\n", + " verbose=1,\n", + " # Calculate validation results on 20% of the training data.\n", + " validation_split = 0.2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SmbvU4s92e5y" + }, + "source": [ + "## Plot performances" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_k0n4Tskaqk5" + }, + "source": [ + "# Saving models" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "gOmLrHlwYDBD" + }, + "outputs": [], + "source": [ + "model.save('model_1.h5')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "gEHdhWHrYGOd" + }, + "source": [ + "## Plot training process" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "id": "hp40Gom1C5g5", + "outputId": "28b0f6a5-e668-4a4f-fb0d-3883a89b5bc8" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_loss(history)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "W6uY1krjYLOe" + }, + "source": [ + "# Prediction" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "yDHdQoG9Cufp", + "outputId": "4c662a3d-6b2a-4248-c814-61950cf5a159" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7/7 [==============================] - 0s 6ms/step\n" + ] + } + ], + "source": [ + "y_r_c_test_hat = model.predict(X_r_c_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tBJQahjrYNyi" + }, + "source": [ + "## Prediction plot" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 654 + }, + "id": "j59dY0VpC90l", + "outputId": "0177bf8d-a2bf-4de8-85bf-bd90a77fa7b2" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 7))\n", + "plt.plot(np.exp(y_r_c_test), label = 'GT', linewidth = 3)\n", + "plt.plot(np.exp(y_r_c_test_hat), label = 'Prediction', linewidth = 3)\n", + "plt.title(f\"Prediction of transcriptome for chromosome 9\", fontsize = 20)\n", + "plt.xlabel(\"Binned genomic coordinates\", fontsize = 14)\n", + "plt.ylabel(\"Transcription level - CPM\", fontsize = 14)\n", + "plt.legend()\n", + "plt.show()" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "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": "3.7.13" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +}