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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To foster greater advances in the aging clock field, [we developed a methodology and a dataset]() for aging clock benchmarking, ComputAge Bench, which relies on measuring
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model ability to predict increased ages in samples from patients with *pre-defined* **aging-accelerating conditions** (AACs) relative to samples from
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healthy controls (HC). We highly recommend consulting the Methods and Discussion sections of our paper before proceeding to use this dataset and to build
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any conclusions upon it
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## Dataset description
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To foster greater advances in the aging clock field, [we developed a methodology and a dataset]() for aging clock benchmarking, ComputAge Bench, which relies on measuring
|
33 |
model ability to predict increased ages in samples from patients with *pre-defined* **aging-accelerating conditions** (AACs) relative to samples from
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healthy controls (HC). **We highly recommend consulting the Methods and Discussion sections of our paper before proceeding to use this dataset and to build
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any conclusions upon it.**
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## Dataset description
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