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Update Tutorial.ipynb
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inoue0426 authored Apr 12, 2024
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"tmp = np.sign(df)\n",
"cols = (np.sum(tmp) > int((df.shape[0])*0.05))\n",
"rows = (np.sum(tmp, axis=1) > int((df.shape[1])*0.05))\n",
"df = np.log(df.loc[rows, cols] + 1)\n",
"df = scprep.normalize.library_size_normalize(df) \n",
"df = scprep.transform.sqrt(df)\n",
"df"
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