Cargando…
Integrating Multi–Omics Data for Gene-Environment Interactions
Gene-environment (G×E) interaction is critical for understanding the genetic basis of complex disease beyond genetic and environment main effects. In addition to existing tools for interaction studies, penalized variable selection emerges as a promising alternative for dissecting G×E interactions. D...
Autores principales: | Du, Yinhao, Fan, Kun, Lu, Xi, Wu, Cen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245467/ https://www.ncbi.nlm.nih.gov/pubmed/35822775 http://dx.doi.org/10.3390/biotech10010003 |
Ejemplares similares
-
GraphOmics: an interactive platform to explore and integrate multi-omics data
por: Wandy, Joe, et al.
Publicado: (2021) -
Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection
por: Lu, Xi, et al.
Publicado: (2021) -
MiBiOmics: an interactive web application for multi-omics data exploration and integration
por: Zoppi, Johanna, et al.
Publicado: (2021) -
A Selective Review of Multi-Level Omics Data Integration Using Variable Selection
por: Wu, Cen, et al.
Publicado: (2019) -
Identification of functional gene modules by integrating multi-omics data and known molecular interactions
por: Chen, Xiaoqing, et al.
Publicado: (2023)