Modeling transcriptomic age using knowledge-primed artificial neural networks
Abstract The development of ‘age clocks’, machine learning models predicting age from biological data, has been a major milestone in the search for reliable markers of biological age and has since become an invaluable tool in aging research. However, beyond their unquestionable utility, current cloc...
Main Authors: | , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-06-01
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Series: | npj Aging and Mechanisms of Disease |
Online Access: | https://doi.org/10.1038/s41514-021-00068-5 |