Towards future directions in data-integrative supervised prediction of human aging-related genes

MOTIVATION: Identification of human genes involved in the aging process is critical due to the incidence of many diseases with age. A state-of-the-art approach for this purpose infers a weighted dynamic aging-specific subnetwork by mapping gene expression (GE) levels at different ages onto the prote...

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Detalles Bibliográficos
Autores principales: Li, Qi, Newaz, Khalique, Milenković, Tijana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710570/
https://www.ncbi.nlm.nih.gov/pubmed/36699345
http://dx.doi.org/10.1093/bioadv/vbac081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710570/
https://www.ncbi.nlm.nih.gov/pubmed/36699345
http://dx.doi.org/10.1093/bioadv/vbac081

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