Cargando…
Data-driven identification and classification of nonlinear aging patterns reveals the landscape of associations between DNA methylation and aging
BACKGROUND: Aging affects the incidence of diseases such as cancer and dementia, so the development of biomarkers for aging is an important research topic in medical science. While such biomarkers have been mainly identified based on the assumption of a linear relationship between phenotypic paramet...
Autores principales: | Okada, Daigo, Cheng, Jian Hao, Zheng, Cheng, Kumaki, Tatsuro, Yamada, Ryo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922449/ https://www.ncbi.nlm.nih.gov/pubmed/36774528 http://dx.doi.org/10.1186/s40246-023-00453-z |
Ejemplares similares
-
Data-driven comparison of multiple high-dimensional single-cell expression profiles
por: Okada, Daigo, et al.
Publicado: (2021) -
Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear
por: Vershinina, O., et al.
Publicado: (2021) -
An integrative module analysis of DNA methylation landscape in aging
por: Li, Gang, et al.
Publicado: (2019) -
Combinatorial identification of DNA methylation patterns over age in the human brain
por: Torabi Moghadam, Behrooz, et al.
Publicado: (2016) -
An Integrative Multi-scale Analysis of the Dynamic DNA Methylation Landscape in Aging
por: Yuan, Tian, et al.
Publicado: (2015)