Cargando…
Multivariate Dimensionality Reduction Approaches to Identify Gene-Gene and Gene-Environment Interactions Underlying Multiple Complex Traits
The elusive but ubiquitous multifactor interactions represent a stumbling block that urgently needs to be removed in searching for determinants involved in human complex diseases. The dimensionality reduction approaches are a promising tool for this task. Many complex diseases exhibit composite synd...
Autores principales: | Xu, Hai-Ming, Sun, Xi-Wei, Qi, Ting, Lin, Wan-Yu, Liu, Nianjun, Lou, Xiang-Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178067/ https://www.ncbi.nlm.nih.gov/pubmed/25259584 http://dx.doi.org/10.1371/journal.pone.0108103 |
Ejemplares similares
-
GMDR: Versatile Software for Detecting Gene-Gene and Gene-Environ- ment Interactions Underlying Complex Traits
por: Xu, Hai-Ming, et al.
Publicado: (2016) -
Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions
por: Choi, Jiin, et al.
Publicado: (2013) -
Multivariate partial linear varying coefficients model for gene‐environment interactions with multiple longitudinal traits
por: Wang, Honglang, et al.
Publicado: (2022) -
Spatial rank-based multifactor dimensionality reduction to detect gene–gene interactions for multivariate phenotypes
por: Park, Mira, et al.
Publicado: (2021) -
Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes
por: Kim, Hyein, et al.
Publicado: (2019)