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Browse files- yolksac_human.py +3 -2
yolksac_human.py
CHANGED
@@ -124,13 +124,14 @@ class RNAExp(datasets.ArrowBasedBuilder):
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def _generate_tables(self, expression_file,batch_size,split):
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idx = 0
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adata = ad.read_h5ad(expression_file)
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self.info.description = adata.var.index.str.lower().tolist() #"+".join(adata.var.index.str.lower().tolist())
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self.column_names = adata.var.index.str.lower().tolist()
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for batch in range(0,adata.shape[0],batch_size):
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chunk = adata.X[batch:batch+batch_size].todense().astype('int32')
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df = pd.DataFrame(chunk,columns=adata.var.index.str.lower())
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df["raw_counts"] = [x for x in df.to_numpy()]
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df = df[["raw_counts"]]
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df[",".join(adata.var.index.str.lower().tolist())] = True
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for feature in self.config.features:
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if feature != "raw_counts":
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def _generate_tables(self, expression_file,batch_size,split):
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idx = 0
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adata = ad.read_h5ad(expression_file)
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# self.info.description = adata.var.index.str.lower().tolist() #"+".join(adata.var.index.str.lower().tolist())
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for batch in range(0,adata.shape[0],batch_size):
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chunk = adata.X[batch:batch+batch_size].todense().astype('int32')
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df = pd.DataFrame(chunk,columns=adata.var.index.str.lower())
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df["raw_counts"] = [x for x in df.to_numpy()]
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df = df[["raw_counts"]]
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+
## We create a dummy column with all the names of the genes as list. We don't use this as value since this would unnecessarily increase the size of the dataset
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## Another option would be to replace the description with the list of genes
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df[",".join(adata.var.index.str.lower().tolist())] = True
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for feature in self.config.features:
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if feature != "raw_counts":
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