Simultaneous dimension reduction and adjustment for confounding variation

Dimension reduction methods are commonly applied to high-throughput biological datasets. However, the results can be hindered by confounding factors, either biological or technical in origin. In this study, we extend principal component analysis (PCA) to propose AC-PCA for simultaneous dimension red...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Lin, Zhixiang, Yang, Can, Zhu, Ying, Duchi, John, Fu, Yao, Wang, Yong, Jiang, Bai, Zamanighomi, Mahdi, Xu, Xuming, Li, Mingfeng, Sestan, Nenad, Zhao, Hongyu, Wong, Wing Hung
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2016
Assuntos:
Physical Sciences
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5187682/
https://ncbi.nlm.nih.gov/pubmed/27930330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1617317113
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados