Datasets:
Tasks:
Tabular Regression
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
DOI:
License:
Update README.md
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README.md
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@@ -52,9 +52,10 @@ Both parts are described further below in more details.
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In total, the dataset comprises **10,404 samples** and **900,449 features** (DNA methylation sites) coming from 65 separate studies
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(some features are missing in some files). It is common for biological (omics) datasets to have N << P, so we had to put samples as columns and features as rows
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in order to save the dataset in the parquet format. We recommend transposing data upon loading in order to match with meta rows,
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as mentioned further below in the Usage Guidelines section.
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Its main purpose is to be used in aging clock benchmarking (for more details on that, again, proceed to the
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[our paper]()). Nevertheless, you are free to use it for any other well-minded purpose you find suitable.
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## Data description
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In total, the dataset comprises **10,404 samples** and **900,449 features** (DNA methylation sites) coming from 65 separate studies
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53 |
(some features are missing in some files). It is common for biological (omics) datasets to have N << P, so we had to put samples as columns and features as rows
|
54 |
in order to save the dataset in the parquet format. We recommend transposing data upon loading in order to match with meta rows,
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as mentioned further below in the [Usage Guidelines](https://huggingface.co/datasets/computage/computage_bench#usage-guidelines) section.
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Its main purpose is to be used in aging clock benchmarking (for more details on that, again, proceed to the
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[Usage Guidelines](https://huggingface.co/datasets/computage/computage_bench#usage-guidelines) and don’t hesitate to visit
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[our paper]()). Nevertheless, you are free to use it for any other well-minded purpose you find suitable.
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## Data description
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