Joint inference of physiological network and survival analysis identifies factors associated with aging rate

We describe methodology for joint reconstruction of physiological-survival networks from observational data capable of identifying key survival-associated variables, inferring a minimal physiological network structure, and bridging this network to the Gompertzian survival layer. Using synthetic netw...

Descripción completa

Detalles Bibliográficos
Autores principales: Sethi, Anurag, Melamud, Eugene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795372/
https://www.ncbi.nlm.nih.gov/pubmed/36590696
http://dx.doi.org/10.1016/j.crmeth.2022.100356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795372/
https://www.ncbi.nlm.nih.gov/pubmed/36590696
http://dx.doi.org/10.1016/j.crmeth.2022.100356

Ejemplares similares