Cargando…
Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies
Genome-wide association study (GWAS) entails examining a large number of single nucleotide polymorphisms (SNPs) in a limited sample with hundreds of individuals, implying a variable selection problem in the high dimensional dataset. Although many single-locus GWAS approaches under polygenic backgrou...
Autores principales: | Tamba, Cox Lwaka, Ni, Yuan-Li, Zhang, Yuan-Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308866/ https://www.ncbi.nlm.nih.gov/pubmed/28141824 http://dx.doi.org/10.1371/journal.pcbi.1005357 |
Ejemplares similares
-
mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies
por: Zhang, Ya-Wen, et al.
Publicado: (2020) -
A Two-Stage Mutual Information Based Bayesian Lasso Algorithm for Multi-Locus Genome-Wide Association Studies
por: Guo, Hongping, et al.
Publicado: (2020) -
Iterative sure independent ranking and screening for drug response prediction
por: An, Biao, et al.
Publicado: (2020) -
DISIS: Prediction of Drug Response through an Iterative Sure Independence Screening
por: Fang, Yun, et al.
Publicado: (2015) -
Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping
por: Cai, Xiaodong, et al.
Publicado: (2011)