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HiCFoundation.ipynb

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"private_outputs": true,
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"provenance": [],
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"gpuType": "T4",
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"authorship_tag": "ABX9TyOMiXRcgn3vkuYcXjQWfrZD",
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"include_colab_link": true
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},
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"kernelspec": {
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"#@markdown ## Option 1: download from database <br>\n",
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"#@markdown Instead of uploading, you can also specify the link here to automatically download maps from ENCODE and other servers.\n",
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"#@markdown Example: https://www.encodeproject.org/files/ENCFF689CUX/@@download/ENCFF689CUX.hic\n",
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"download_link = 'https://www.encodeproject.org/files/ENCFF689CUX/@@download/ENCFF689CUX.hic' #@param {type:\"string\"}\n",
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"download_link = '' #@param {type:\"string\"}\n",
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"output_dir=\"/content/\"\n",
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"if download_link!='':\n",
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" root_dir = os.getcwd()\n",
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"#@markdown For \"Reproducibility analysis\", \"Loop detection\", \"Resolution enhancement\",and \"Single-cell Hi-C\" task, 224$\\times$224 is suggested input size.\n",
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"#@markdown <br> For \"Epigenomic Profiling\", the suggested input size is 128$\\times$4000.\n",
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"#@markdown <br> For \"Hi-C Embedding\", please chooce the submatrix size that you are interested. Please make sure the numbers are multiplies of 16.\n",
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"submat_height= 224 #@param {type:\"number\"}\n",
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"submat_width= 224 #@param {type:\"number\"}\n",
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"\n",
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"submat_height = 128 #@param {type:\"number\"}\n",
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"submat_width = 4000 #@param {type:\"number\"}\n",
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"#@markdown Configure scanning stride for the input Hi-C matrix. The default should applies to most settings.\n",
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"stride = 20 #@param {type:\"number\"}\n",
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"stride = 32 #@param {type:\"number\"}\n",
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"#@markdown Configure scanning boundary for the input Hi-C matrix. Default 0 indicates scanning across the diagonal, should work for most tasks. You can adjust based on your need.\n",
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"scan_boundary = 0 #@param {type:\"number\"}\n",
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"#@markdown Configure the batch size for HiCFoundation inference.\n",
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" file.write(\"%s\"%command_line)"
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],
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"metadata": {
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"cellView": "form",
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"id": "ul4yLfwbQzpp"
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"id": "ul4yLfwbQzpp",
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"cellView": "form"
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},
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"execution_count": null,
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"outputs": []

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