Modeling transcriptomic age using knowledge-primed artificial neural networks
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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 unque... ...
