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ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data

2025-05-08

Abstract excerpt

Despite aging being a fundamental biological process which profoundly influences health and disease, the interplay between tissue-specific aging and mortality remains underexplored. This study applies machine learning on GTEx transcriptomic data to model tissue-specific biological ages across 12 different types of tissues and introduces an age-gap metric to quantify deviations from the chronological age. We use s...

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Identifiers and source

Literature Corpus work
dad591a6-f5c7-51c8-9754-8d3d5a6b398a
DOI
10.1101/2025.05.02.651895
Open publication

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ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic DataDOI 10.1101/2025.05.02.651895
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