Modeling transcriptomic age using knowledge-primed artificial neural networks

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 clocks offer...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:NPJ Aging Mech Dis
Main Authors: Holzscheck, Nicholas, Falckenhayn, Cassandra, Söhle, Jörn, Kristof, Boris, Siegner, Ralf, Werner, André, Schössow, Janka, Jürgens, Clemens, Völzke, Henry, Wenck, Horst, Winnefeld, Marc, Grönniger, Elke, Kaderali, Lars
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8169742/
https://ncbi.nlm.nih.gov/pubmed/34075044
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41514-021-00068-5
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados