{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import os\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import glob\n", "import ast \n", "from matplotlib.lines import Line2D" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "matplotlib.rcParams['font.family'] = \"sans-serif\"\n", "matplotlib.rcParams['font.sans-serif'] = \"Arial\"\n", "\n", "smaller_size = 13\n", "medium_size = 14\n", "bigger_size = 16\n", "\n", "plt.rc('font', size=bigger_size) # controls default text sizes\n", "plt.rc('axes', titlesize=medium_size) # fontsize of the axes title\n", "plt.rc('axes', labelsize=medium_size) # fontsize of the x and y labels\n", "plt.rc('xtick', labelsize=smaller_size) # fontsize of the tick labels\n", "plt.rc('ytick', labelsize=smaller_size) # fontsize of the tick labels\n", "plt.rc('legend', fontsize=smaller_size) # legend fontsize\n", "plt.rc('figure', titlesize=bigger_size) # fontsize of the figure title\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "index='871'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Panel A\n", "root = os.getcwd()\n", "#index = '680' # or 035 which are non-oscillating models\n", "#loss = pd.read_csv('b11_'+index+'/record_eval.csv')\n", "loss = pd.read_csv('seed_'+index+'/record_eval.csv',usecols=range(8))\n", "noi_index = np.genfromtxt(root+'/../../data/node_Index.csv', \n", " dtype = str)[[2,3,82,31,40,83]]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Panel B\n", "def _simu(t_mu, W, alpha, eps, x_0 = np.zeros([99]), dT=0.1, n_T=100):\n", " def _dXdt(x):\n", " dXdt = eps[:, 0] * np.tanh(np.matmul(W, x) + t_mu) - alpha[:, 0] * x\n", " return dXdt\n", " \n", " x = x_0\n", " trace = x_0\n", " for i in range(n_T):\n", " \"\"\" Integrate with Heun's Method \"\"\"\n", " dXdt_current = _dXdt(x)\n", " dXdt_next = _dXdt(x + dT * dXdt_current)\n", " x = x + dT * 0.5 * (dXdt_current + dXdt_next)\n", " trace = np.append(trace,x)\n", " trace = np.reshape(trace, [n_T+1, 99])\n", " return trace\n", "def b(index = '000', condition = 0, nT = 400):\n", "\n", " #os.chdir(root+'/b11_'+index)\n", " os.chdir(root+'/seed_'+index)\n", "\n", "# alpha = pd.read_csv(glob.glob('*%d*json.4*alpha*csv'%nT)[0], index_col = 0).values\n", "# eps = pd.read_csv(glob.glob('*%d*json.4*eps*csv'%nT)[0], index_col = 0).values\n", "# w = pd.read_csv(glob.glob('*%d*json.4*W*csv'%nT)[0], index_col = 0).values\n", " alpha = pd.read_csv(glob.glob('6_best.alpha*csv')[0], index_col = 0).values\n", " eps = pd.read_csv(glob.glob('6_best.eps*csv')[0], index_col = 0).values\n", " w = pd.read_csv(glob.glob('6_best.W*csv')[0], index_col = 0).values\n", "\n", " pert = np.genfromtxt('../../../data/pert.csv', dtype = np.float32, delimiter = ',')\n", " expr = np.genfromtxt('../../../data/expr.csv', dtype = np.float32, delimiter = ',')\n", " pos = np.genfromtxt('random_pos.csv')\n", "\n", " noi = [2,3,31,40,82,83]\n", " trace = _simu(pert[condition], w, alpha, eps, n_T = int(nT))\n", " trace_subset = trace[:,noi].transpose()\n", " xs = np.linspace(0, nT/10, int(nT)+1)\n", " real = expr[condition, noi]\n", "\n", " for t, trace_i in enumerate(trace_subset):\n", " plt.axhline(y = real[t], xmax = 0.98, ls=\"dashed\", alpha = 0.8,\n", " color = sns.color_palette(\"deep\")[t])\n", " \n", " plt.plot(xs, trace_i, color = sns.color_palette(\"deep\")[t], \n", " label = noi_index[t], alpha = 0.8)\n", "\n", "\n", " #plt.axvline(x = nT/10, color=\"black\", ls=\"dashed\", alpha = 0.8, linewidth=2)\n", " return trace, real" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Panel C\n", "#y_hat = pd.read_csv(root+'/12_random_partition_average_testhat.csv', index_col = 0)\n", "y_hat = pd.read_csv(root+'/random_partition_average_testhat_929.csv', index_col = 0)\n", "y = pd.read_csv(root+'/../../data/expr.csv', header = None)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "def moving_average(sequence, n=5) :\n", " ret = np.cumsum(sequence, dtype=float)\n", " ret[n:] = ret[n:] - ret[:-n]\n", " return ret[n - 1:] / n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Combined plot\n", "f, axes = plt.subplots(figsize = [12, 11])\n", "\n", "# Panel A\n", "ax = plt.subplot2grid((5, 2), (0, 0), rowspan=2)\n", "nma = 10\n", "idx = np.where([x!='None' for x in loss['train_mse']])[0]\n", "plt.plot(np.arange(len(idx)-nma+1), \n", " moving_average(np.array([float(x) for x in loss['train_mse'][idx]]),n=nma), \n", " alpha = 0.8, color=\"C2\")\n", "plt.plot(np.arange(len(idx)-nma+1), \n", " moving_average(np.array([float(x) for x in loss['valid_mse'][idx]]),n=nma), \n", " alpha = 0.8, color=\"C1\")\n", "plt.plot(np.arange(len(idx)-nma+1), \n", " moving_average(np.array([float(x) for x in loss['test_mse'][idx]]),n=nma), \n", " alpha = 0.8, color=\"C0\")\n", "plt.xlabel('Training iterations')\n", "plt.ylabel('Mean Squared Error')\n", "custom_lines = [Line2D([0], [0], color='C2'), \n", " Line2D([0], [0], color='C1'),\n", " Line2D([0], [0], color='C0')]\n", "legend = plt.legend(custom_lines, ['Training', 'Validation', 'Test'], loc='upper right',\n", " frameon=False)\n", "ax.add_artist(legend)\n", "#plt.legend(['Training', 'Validation', 'Test'], frameon=False)\n", "plt.xticks([0,1000,2000,3000,4000])\n", "plt.yticks([0,0.2,0.4,0.6,0.8,1.0])\n", "plt.title(\"Prediction error decreases during training\", \n", " weight='bold', size=15)\n", "plt.text(-0.13,1.02,'A', weight='bold',transform=ax.transAxes)\n", "\n", "# Panel B\n", "ax = plt.subplot2grid((5, 2), (0, 1), rowspan=2)\n", "trace, real = b(index = index, condition = 0, nT = 400)\n", "#plt.axvline(x = 40, ymin=0.03, ymax=0.73, color=\"black\", ls=\"dashed\", alpha = 0.8, linewidth=2)\n", "plt.xlabel('ODE simulation steps')\n", "plt.ylabel('Cell Response', labelpad=-8)\n", "plt.xlim([-1,41])\n", "plt.ylim([-1.1,1.3])\n", "plt.xticks([0,10,20,30,40],[0,100,200,300,400])\n", "plt.yticks([-1,-0.5,0,0.5,1.0])\n", "\n", "custom_lines = [Line2D([0], [0], color='k'), Line2D([0], [0], color='k', ls=\"dashed\")]\n", "legend1 = plt.legend(loc='upper right', bbox_to_anchor=(1.02, 0.93), frameon=False, \n", " ncol=3, prop={'size': 12, \"weight\": \"normal\"}, columnspacing=1.2)\n", "legend2 = plt.legend(custom_lines, ['Simulation', 'Experimental'], loc='upper right',\n", " ncol=2, bbox_to_anchor=(0.82, 1.01), frameon=False, \n", " prop={'size': 12,'style':'normal','weight':'normal','variant':'normal','stretch':'normal'},\n", " columnspacing=1.8)\n", "ax.add_artist(legend1)\n", "ax.add_artist(legend2)\n", "plt.title(\"ODE simulation agrees with experiments\", \n", " weight='bold', size=15)\n", "plt.text(-0.13,1.02,'B', weight='bold',transform=ax.transAxes)\n", "\n", "\n", "# Panel C\n", "ax = plt.subplot2grid((14, 2), (7, 0), rowspan=8)\n", "x_all = y.values.flatten()\n", "y_all = y_hat.values.flatten()\n", "\n", "x_prot = y.iloc[:,0:82]\n", "y_prot = y_hat.iloc[:,0:82]\n", "x_pheno = y.iloc[:,82:87]\n", "y_pheno = y_hat.iloc[:,82:87]\n", "plt.scatter(x_prot, y_prot, s = 15, alpha = 0.7, color=\"#74A6D1\",zorder=3)\n", "#plt.scatter(x_prot, y_prot, s = 15, alpha = 0.7, color=\"#FC5A5B\",zorder=3)\n", "plt.scatter(x_pheno, y_pheno, s = 15, alpha = 0.7, color=\"#3D6CA3\",zorder=4)\n", "#plt.scatter(x_pheno, y_pheno, s = 15, alpha = 0.7, color=\"#FECD7F\",zorder=4)\n", "plt.legend([\"Molecular nodes\",\"Phenotypic nodes\"], loc=\"lower right\", frameon=False,\n", " handletextpad=0.1)\n", "plt.plot([-10, 10], [-10, 10], c = 'white', alpha = 0, ls = '--')\n", "#plt.scatter(x_all, y_all, s = 15, alpha = 0.6)\n", "sns.regplot(x_all, y_all, scatter_kws={'s': 15, 'alpha': 0},line_kws={'color': '#1B406C', 'alpha': 1})\n", "#sns.regplot(x_all, y_all, scatter_kws={'s': 15, 'alpha': 0},line_kws={'color': '#F18A64', 'alpha': 1})\n", "\n", "plt.xticks(np.arange(-6,3))\n", "plt.yticks(np.arange(-6,3))\n", "#plt.grid(True, which='both')\n", "\n", "lower = np.min([x_all, y_all])\n", "upper = np.max([x_all, y_all])\n", "plt.xlim([lower*1.2, upper*1.2])\n", "plt.ylim([lower*1.2, upper*1.2])\n", "\n", "r = np.corrcoef(x_all, y_all)[0][1]\n", "plt.text(x = -5.6, y= 1.6, s='Pearson\\'s correlation: ρ=%1.3f'%r,\n", " size = 15)\n", "plt.xlabel('Experimental response')\n", "plt.ylabel('Predicted response')\n", "plt.title(\"Correlation between predictions and \\n experiments across all conditions\", \n", " weight='bold', size=15)\n", "\n", "plt.text(-0.13,1.06,'C', weight='bold',transform=ax.transAxes)\n", "\n", "\n", "# Panel D (across different conditions)\n", "ax = plt.subplot2grid((14, 2), (7, 1), rowspan=8)\n", "x_all = y.values\n", "y_all = y_hat.values\n", "rs = [np.corrcoef(x_all[i], y_all[i])[0][1] for i in range(y.shape[0])]\n", "plt.hist(rs, bins = 22, color = 'grey', alpha = 0.6, rwidth=0.93)\n", "plt.axvline(x = r, linewidth=2, label = 'Median', color=\"#1B406C\")\n", "plt.xlabel('Experiment-prediction correlation')\n", "plt.ylabel('Number of conditions')\n", "plt.xticks([0.2,0.4,0.6,0.8,1.0])\n", "plt.yticks([0,10,20,30,40])\n", "plt.text(0.62,33,\"correlation for \\nall conditions\", color=\"#1B406C\",\n", " size = 15)\n", "plt.title(\"Correlation between predictions and \\n experiments for individual conditions\", \n", " weight='bold', size=15)\n", "plt.text(-0.13,1.06,'D', weight='bold',transform=ax.transAxes)\n", "\n", "plt.tight_layout()\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "f.savefig(root+'/Figure2.pdf',format=\"pdf\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }