Datasets:
Tasks:
Tabular Regression
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
DOI:
License:
Update README.md
Browse files
README.md
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@@ -206,8 +206,8 @@ import pandas as pd
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# let's choose a study id, for example `GSE100264`
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df = pd.read_parquet('data/benchmark/computage_bench_data_GSE100264.parquet').T
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-
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# note that we transpose data for a more convenient perception of samples and features
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# don't forget to explore metadata (which is common for all datasets):
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meta = pd.read_csv('computage_bench_meta.tsv', sep='\t', index_col=0)
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```
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# let's choose a study id, for example `GSE100264`
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df = pd.read_parquet('data/benchmark/computage_bench_data_GSE100264.parquet').T
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# note that we transpose data for a more convenient perception of samples and features
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+
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# don't forget to explore metadata (which is common for all datasets):
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meta = pd.read_csv('computage_bench_meta.tsv', sep='\t', index_col=0)
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```
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