{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "58c9aafb",
   "metadata": {},
   "source": [
    "# Inference and Analysis of scATAC-seq Rhythmicity using GeneRhythm\n",
    "This tutorial provides a step-by-step guide on performing inference, analysis, and visualization of scATAC-seq rhythmicity in a single dataset using GeneRhythm. We demonstrate the diverse capabilities of GeneRhythm by applying it to scATAC-seq data obtained from mouse tissue samples.\n",
    "\n",
    "GeneRhythm leverages user-provided scATAC-seq data by integrating wavelet transformation with deep generative modeling. This approach enables the extraction of frequency-domain features that complement traditional time-domain analyses, allowing for a more comprehensive understanding of gene expression dynamics. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d5d4797e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess\n",
    "from Build_graph import *\n",
    "from Frequency_extract import *\n",
    "from GCN_VAE import *\n",
    "from Show_result import *"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07a449c4",
   "metadata": {},
   "source": [
    "# Part 1: Data loading, time and frequency information acquisition\n",
    "## Obtain time information with monocle3\n",
    "GeneRhythm firstly utilized monocle3 to obtain the trajectory information of single-cell ATAC-seq data. trajectory_inference.R is the script to run monocle3. dataset indicated the name of dataset. mtx, barcode and peak indicate the position of the single-cell ATAC-seq data.Based on the trajectory information, GeneRhythm can derive time information (Peak expression chagnes on the trajectory pesodu-time path)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f95cc183",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = 'mouse_atherosclerotic_plaque_immune_cells_Arsenic_ATAC'\n",
    "mtx = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Arsenic/matrix.mtx'\n",
    "barcode = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Arsenic/barcodes.csv'\n",
    "peak  = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Arsenic/features.csv'\n",
    "subprocess.run([\"Rscript\", \"trajectory_inference.R\", dataset, mtx， barcode, peak])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9ae3d69",
   "metadata": {},
   "source": [
    "##  Frequency information generation\n",
    "In this step, we harness the power of wavelet transformation to extract detailed frequency information from the scATAC-seq data. By leveraging the trajectory information obtained from Monocle3—which orders cells along a pseudotime axis—we can capture both the temporal progression and the underlying periodic patterns of peak expression.\n",
    "\n",
    "Wavelet transformation decomposes the peak expression profiles into various frequency components, enabling us to detect subtle oscillations and rhythmic behaviors that are often not apparent in the time domain alone. This multi-scale analysis helps reveal hidden periodicities.\n",
    "\n",
    "By integrating the frequency-domain features with the temporal trajectory and expression, we achieve a more nuanced analysis. The frequency information complements the time-domain data, enhancing peak clustering. Ultimately, this combined approach provides a comprehensive view of the dynamic changes in peak expression, paving the way for deeper insights into cellular functions and regulatory processes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8dad2426",
   "metadata": {},
   "outputs": [],
   "source": [
    "trajectory_info = pd.read_csv(\"mouse_atherosclerotic_plaque_immune_cells_Arsenic_ATAC.csv\")\n",
    "mtx = sc.read_mtx(mtx)\n",
    "mtx = mtx.X.T\n",
    "barcode = pd.read_csv(barcode,sep=',',index_col=0)\n",
    "gene  = pd.read_csv(peak,header=0,index_col = 0)\n",
    "adata = anndata.AnnData(mtx,barcode,peak)\n",
    "frequency_extract(trajectory_info, adata, dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d86e5d4",
   "metadata": {},
   "source": [
    "# Part 2: Model preparation and training"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce3e444d",
   "metadata": {},
   "source": [
    "## Modle training\n",
    "In this stage, the model is trained using time, frequency, and expression data. This integration allows the model to learn a comprehensive latent embedding that encapsulates the intricate relationships among peaks. Once the model has been trained, we apply the Leiden algorithm to the latent space to identify peak clusters. These clusters represent groups of genes with similar expression dynamics and regulatory patterns, providing a valuable basis for further biological insights and downstream analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "23720a09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "____________________________\n",
      "Start Training VAE...\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 1, AvgLoss: 33.0622\n",
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      "Epochs: 2, AvgLoss: 32.9728\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 602, AvgLoss: 5.3262\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 603, AvgLoss: 5.3219\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 604, AvgLoss: 5.3179\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 605, AvgLoss: 5.3138\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 606, AvgLoss: 5.3095\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 607, AvgLoss: 5.3046\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 608, AvgLoss: 5.3004\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 609, AvgLoss: 5.2956\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 610, AvgLoss: 5.2904\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 611, AvgLoss: 5.2855\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 612, AvgLoss: 5.2802\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 613, AvgLoss: 5.2745\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 614, AvgLoss: 5.2687\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 615, AvgLoss: 5.2629\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 616, AvgLoss: 5.2563\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 617, AvgLoss: 5.2496\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 618, AvgLoss: 5.2430\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 619, AvgLoss: 5.2358\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 620, AvgLoss: 5.2285\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 621, AvgLoss: 5.2214\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 622, AvgLoss: 5.2139\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 623, AvgLoss: 5.2072\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 624, AvgLoss: 5.2001\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 625, AvgLoss: 5.1937\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 626, AvgLoss: 5.1873\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 627, AvgLoss: 5.1811\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 628, AvgLoss: 5.1751\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 629, AvgLoss: 5.1689\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 630, AvgLoss: 5.1623\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 631, AvgLoss: 5.1564\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 632, AvgLoss: 5.1504\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 633, AvgLoss: 5.1448\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 634, AvgLoss: 5.1397\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 635, AvgLoss: 5.1347\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 636, AvgLoss: 5.1301\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 637, AvgLoss: 5.1258\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 638, AvgLoss: 5.1215\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 639, AvgLoss: 5.1174\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 640, AvgLoss: 5.1134\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 641, AvgLoss: 5.1097\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 642, AvgLoss: 5.1059\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 643, AvgLoss: 5.1022\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 644, AvgLoss: 5.0988\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 645, AvgLoss: 5.0953\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 646, AvgLoss: 5.0922\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 647, AvgLoss: 5.0896\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 648, AvgLoss: 5.0865\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 649, AvgLoss: 5.0838\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 650, AvgLoss: 5.0809\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 651, AvgLoss: 5.0782\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 652, AvgLoss: 5.0754\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 653, AvgLoss: 5.0728\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 654, AvgLoss: 5.0702\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 655, AvgLoss: 5.0675\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 656, AvgLoss: 5.0653\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 657, AvgLoss: 5.0627\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 658, AvgLoss: 5.0604\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 659, AvgLoss: 5.0578\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 660, AvgLoss: 5.0554\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 661, AvgLoss: 5.0532\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 662, AvgLoss: 5.0511\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 663, AvgLoss: 5.0490\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 664, AvgLoss: 5.0466\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 665, AvgLoss: 5.0445\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 666, AvgLoss: 5.0422\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 667, AvgLoss: 5.0402\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 668, AvgLoss: 5.0379\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 669, AvgLoss: 5.0358\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 670, AvgLoss: 5.0339\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 671, AvgLoss: 5.0320\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 672, AvgLoss: 5.0299\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 673, AvgLoss: 5.0278\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 674, AvgLoss: 5.0260\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 675, AvgLoss: 5.0241\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 676, AvgLoss: 5.0222\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 677, AvgLoss: 5.0201\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 678, AvgLoss: 5.0181\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 679, AvgLoss: 5.0163\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 680, AvgLoss: 5.0145\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 681, AvgLoss: 5.0126\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 682, AvgLoss: 5.0107\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 683, AvgLoss: 5.0089\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 684, AvgLoss: 5.0070\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 685, AvgLoss: 5.0051\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 686, AvgLoss: 5.0035\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 687, AvgLoss: 5.0016\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 688, AvgLoss: 4.9997\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 689, AvgLoss: 4.9979\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 690, AvgLoss: 4.9961\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 691, AvgLoss: 4.9945\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 692, AvgLoss: 4.9926\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 693, AvgLoss: 4.9909\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 694, AvgLoss: 4.9891\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 695, AvgLoss: 4.9874\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 696, AvgLoss: 4.9855\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 697, AvgLoss: 4.9840\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 698, AvgLoss: 4.9822\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 699, AvgLoss: 4.9804\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 700, AvgLoss: 4.9787\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 701, AvgLoss: 4.9770\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 702, AvgLoss: 4.9752\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 703, AvgLoss: 4.9738\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 704, AvgLoss: 4.9718\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 705, AvgLoss: 4.9702\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 706, AvgLoss: 4.9685\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 707, AvgLoss: 4.9669\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 708, AvgLoss: 4.9652\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 709, AvgLoss: 4.9634\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 710, AvgLoss: 4.9617\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 711, AvgLoss: 4.9600\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 712, AvgLoss: 4.9583\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 713, AvgLoss: 4.9568\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 714, AvgLoss: 4.9551\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 715, AvgLoss: 4.9533\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 716, AvgLoss: 4.9518\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 717, AvgLoss: 4.9501\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 718, AvgLoss: 4.9485\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 719, AvgLoss: 4.9469\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 720, AvgLoss: 4.9450\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 721, AvgLoss: 4.9435\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 722, AvgLoss: 4.9420\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 723, AvgLoss: 4.9401\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 724, AvgLoss: 4.9384\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 725, AvgLoss: 4.9369\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 726, AvgLoss: 4.9351\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 727, AvgLoss: 4.9337\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 728, AvgLoss: 4.9320\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 729, AvgLoss: 4.9303\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 730, AvgLoss: 4.9286\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 731, AvgLoss: 4.9270\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 732, AvgLoss: 4.9253\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 733, AvgLoss: 4.9236\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 734, AvgLoss: 4.9220\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 735, AvgLoss: 4.9204\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 736, AvgLoss: 4.9187\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 737, AvgLoss: 4.9169\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 738, AvgLoss: 4.9152\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 739, AvgLoss: 4.9134\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 740, AvgLoss: 4.9118\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 741, AvgLoss: 4.9101\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 742, AvgLoss: 4.9083\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 743, AvgLoss: 4.9065\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 744, AvgLoss: 4.9048\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 745, AvgLoss: 4.9029\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 746, AvgLoss: 4.9012\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 747, AvgLoss: 4.8997\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 748, AvgLoss: 4.8979\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 749, AvgLoss: 4.8960\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 750, AvgLoss: 4.8943\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 751, AvgLoss: 4.8927\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 752, AvgLoss: 4.8909\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 753, AvgLoss: 4.8893\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 754, AvgLoss: 4.8876\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 755, AvgLoss: 4.8861\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 756, AvgLoss: 4.8844\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 757, AvgLoss: 4.8829\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 758, AvgLoss: 4.8811\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 759, AvgLoss: 4.8796\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 760, AvgLoss: 4.8779\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 761, AvgLoss: 4.8765\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 762, AvgLoss: 4.8749\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 763, AvgLoss: 4.8735\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 764, AvgLoss: 4.8719\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 765, AvgLoss: 4.8702\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 766, AvgLoss: 4.8686\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 767, AvgLoss: 4.8672\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 768, AvgLoss: 4.8659\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 769, AvgLoss: 4.8642\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 770, AvgLoss: 4.8625\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 771, AvgLoss: 4.8611\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 772, AvgLoss: 4.8597\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 773, AvgLoss: 4.8583\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 774, AvgLoss: 4.8567\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 775, AvgLoss: 4.8552\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 776, AvgLoss: 4.8537\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 777, AvgLoss: 4.8523\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 778, AvgLoss: 4.8508\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 779, AvgLoss: 4.8494\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 780, AvgLoss: 4.8480\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 781, AvgLoss: 4.8463\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 782, AvgLoss: 4.8450\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 783, AvgLoss: 4.8435\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 784, AvgLoss: 4.8420\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 785, AvgLoss: 4.8406\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 786, AvgLoss: 4.8392\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 787, AvgLoss: 4.8377\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 788, AvgLoss: 4.8363\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 789, AvgLoss: 4.8349\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 790, AvgLoss: 4.8333\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 791, AvgLoss: 4.8322\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 792, AvgLoss: 4.8307\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 793, AvgLoss: 4.8293\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 794, AvgLoss: 4.8277\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 795, AvgLoss: 4.8264\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 796, AvgLoss: 4.8250\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 797, AvgLoss: 4.8236\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 798, AvgLoss: 4.8221\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 799, AvgLoss: 4.8207\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 800, AvgLoss: 4.8191\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 801, AvgLoss: 4.8178\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 802, AvgLoss: 4.8166\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 803, AvgLoss: 4.8152\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 804, AvgLoss: 4.8138\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 805, AvgLoss: 4.8124\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 806, AvgLoss: 4.8111\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 807, AvgLoss: 4.8097\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 808, AvgLoss: 4.8082\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 809, AvgLoss: 4.8067\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 810, AvgLoss: 4.8054\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 811, AvgLoss: 4.8041\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 812, AvgLoss: 4.8027\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 813, AvgLoss: 4.8015\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 814, AvgLoss: 4.8000\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 815, AvgLoss: 4.7984\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 816, AvgLoss: 4.7971\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 817, AvgLoss: 4.7957\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 818, AvgLoss: 4.7946\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 819, AvgLoss: 4.7930\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 820, AvgLoss: 4.7915\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 821, AvgLoss: 4.7903\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 822, AvgLoss: 4.7889\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 823, AvgLoss: 4.7874\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 824, AvgLoss: 4.7861\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 825, AvgLoss: 4.7847\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 826, AvgLoss: 4.7835\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 827, AvgLoss: 4.7822\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 828, AvgLoss: 4.7804\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 829, AvgLoss: 4.7793\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 830, AvgLoss: 4.7777\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 831, AvgLoss: 4.7764\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 832, AvgLoss: 4.7752\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 833, AvgLoss: 4.7737\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 834, AvgLoss: 4.7724\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 835, AvgLoss: 4.7710\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 836, AvgLoss: 4.7700\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 837, AvgLoss: 4.7683\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 838, AvgLoss: 4.7670\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 839, AvgLoss: 4.7655\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 840, AvgLoss: 4.7642\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 841, AvgLoss: 4.7629\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 845, AvgLoss: 4.7574\n",
      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 848, AvgLoss: 4.7534\n",
      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 850, AvgLoss: 4.7507\n",
      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "Epochs: 869, AvgLoss: 4.7243\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 870, AvgLoss: 4.7229\n",
      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 879, AvgLoss: 4.7101\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 880, AvgLoss: 4.7088\n",
      "torch.Size([92807, 250])\n",
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      "torch.Size([92807, 250])\n",
      "Epochs: 882, AvgLoss: 4.7059\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 883, AvgLoss: 4.7045\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 884, AvgLoss: 4.7030\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 885, AvgLoss: 4.7017\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 886, AvgLoss: 4.7001\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 887, AvgLoss: 4.6987\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 888, AvgLoss: 4.6971\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 889, AvgLoss: 4.6957\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 890, AvgLoss: 4.6942\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 891, AvgLoss: 4.6927\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 892, AvgLoss: 4.6913\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 893, AvgLoss: 4.6900\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 894, AvgLoss: 4.6885\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 895, AvgLoss: 4.6870\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 896, AvgLoss: 4.6857\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 897, AvgLoss: 4.6841\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 898, AvgLoss: 4.6827\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 899, AvgLoss: 4.6811\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 900, AvgLoss: 4.6795\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 901, AvgLoss: 4.6783\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 902, AvgLoss: 4.6768\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 903, AvgLoss: 4.6753\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 904, AvgLoss: 4.6739\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 905, AvgLoss: 4.6724\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 906, AvgLoss: 4.6709\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 907, AvgLoss: 4.6697\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 908, AvgLoss: 4.6680\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 909, AvgLoss: 4.6667\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 910, AvgLoss: 4.6653\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 911, AvgLoss: 4.6640\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 912, AvgLoss: 4.6624\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 913, AvgLoss: 4.6610\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 914, AvgLoss: 4.6596\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 915, AvgLoss: 4.6579\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 916, AvgLoss: 4.6566\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 917, AvgLoss: 4.6553\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 918, AvgLoss: 4.6538\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 919, AvgLoss: 4.6524\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 920, AvgLoss: 4.6510\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 921, AvgLoss: 4.6495\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 922, AvgLoss: 4.6483\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 923, AvgLoss: 4.6468\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 924, AvgLoss: 4.6454\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 925, AvgLoss: 4.6441\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 926, AvgLoss: 4.6425\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 927, AvgLoss: 4.6412\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 928, AvgLoss: 4.6398\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 929, AvgLoss: 4.6386\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 930, AvgLoss: 4.6372\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 931, AvgLoss: 4.6357\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 932, AvgLoss: 4.6345\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 933, AvgLoss: 4.6329\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 934, AvgLoss: 4.6317\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 935, AvgLoss: 4.6304\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 936, AvgLoss: 4.6288\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 937, AvgLoss: 4.6275\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 938, AvgLoss: 4.6261\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 939, AvgLoss: 4.6247\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 940, AvgLoss: 4.6233\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 941, AvgLoss: 4.6218\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 942, AvgLoss: 4.6205\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 943, AvgLoss: 4.6191\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 944, AvgLoss: 4.6178\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 945, AvgLoss: 4.6163\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 946, AvgLoss: 4.6151\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 947, AvgLoss: 4.6137\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 948, AvgLoss: 4.6124\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 949, AvgLoss: 4.6112\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 950, AvgLoss: 4.6098\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 951, AvgLoss: 4.6082\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 952, AvgLoss: 4.6070\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 953, AvgLoss: 4.6057\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 954, AvgLoss: 4.6043\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 955, AvgLoss: 4.6030\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 956, AvgLoss: 4.6016\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 957, AvgLoss: 4.6002\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 958, AvgLoss: 4.5987\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 959, AvgLoss: 4.5976\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 960, AvgLoss: 4.5961\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 961, AvgLoss: 4.5948\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 962, AvgLoss: 4.5934\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 963, AvgLoss: 4.5921\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 964, AvgLoss: 4.5906\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 965, AvgLoss: 4.5892\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 966, AvgLoss: 4.5880\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 967, AvgLoss: 4.5865\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 968, AvgLoss: 4.5849\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 969, AvgLoss: 4.5837\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 970, AvgLoss: 4.5823\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 971, AvgLoss: 4.5809\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 972, AvgLoss: 4.5796\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 973, AvgLoss: 4.5781\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 974, AvgLoss: 4.5767\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 975, AvgLoss: 4.5752\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 976, AvgLoss: 4.5738\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 977, AvgLoss: 4.5724\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 978, AvgLoss: 4.5710\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 979, AvgLoss: 4.5695\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 980, AvgLoss: 4.5682\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 981, AvgLoss: 4.5666\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 982, AvgLoss: 4.5652\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 983, AvgLoss: 4.5637\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 984, AvgLoss: 4.5623\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 985, AvgLoss: 4.5609\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 986, AvgLoss: 4.5595\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 987, AvgLoss: 4.5580\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 988, AvgLoss: 4.5567\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 989, AvgLoss: 4.5552\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 990, AvgLoss: 4.5538\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 991, AvgLoss: 4.5523\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 992, AvgLoss: 4.5508\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 993, AvgLoss: 4.5494\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 994, AvgLoss: 4.5481\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 995, AvgLoss: 4.5466\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 996, AvgLoss: 4.5452\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 997, AvgLoss: 4.5438\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 998, AvgLoss: 4.5423\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 999, AvgLoss: 4.5409\n",
      "torch.Size([92807, 250])\n",
      "Epochs: 1000, AvgLoss: 4.5395\n",
      "Training for VAE has been done.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "GeneRhythm_Model(input_data = 'mouse_atherosclerotic_plaque_immune_cells_Arsenic_ATAC.npy',sc_data = adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba19e832",
   "metadata": {},
   "source": [
    "# Part 3: Showing result\n",
    "In this phase, we visualize the outcomes of our analysis by displaying both the time and frequency information for each identified peak cluster. These visualizations help in interpreting the complex dynamics captured by the model and provide insights into the temporal progression and rhythmicity of peak expression within each cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "55fc6267",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_result(peak,trajectory_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54ed775d",
   "metadata": {},
   "source": [
    "Only the first eligible cluster's plots are ploted out. Other clusters's plots are saved to pdf files."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43725788",
   "metadata": {},
   "source": [
    "# Part 4: Differential frequency peaks\n",
    "In this step, we perform a comparative analysis to identify peaks that show significant differences in frequency between arsenic and control. By statistically evaluating these differences, we can uncover frequency-specific regulatory elements or patterns that are condition-dependent. This analysis provides deeper biological insights into how rhythmicity may vary across different peaks, thereby highlighting potential functional elements involved in dynamic processes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7c2f3fd",
   "metadata": {},
   "source": [
    "Firstly, we need to obtain the frequency information of control dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a479b720",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = 'mouse_atherosclerotic_plaque_immune_cells_Control_ATAC'\n",
    "mtx = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Control/matrix.mtx'\n",
    "barcode = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Control/barcodes.csv'\n",
    "peak  = './dataset/mouse_atherosclerotic_plaque_immune_cells_ATAC/Control/features.csv'\n",
    "subprocess.run([\"Rscript\", \"trajectory_inference.R\", dataset, mtx， barcode, peak])\n",
    "trajectory_info = pd.read_csv(\"mouse_atherosclerotic_plaque_immune_cells_Control_ATAC.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8675e7b5",
   "metadata": {},
   "source": [
    "Then, run the differential frequency to obtain the differential frequency peaks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cd2fe2a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "differential_frequency('mouse_atherosclerotic_plaque_immune_cells_Arsenic_ATAC.csv','mouse_atherosclerotic_plaque_immune_cells_Control_ATAC.csv','Arsenic','Control',peak)"
   ]
  }
 ],
 "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}