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...

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Gepubliceerd in:Proc Natl Acad Sci U S A
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: National Academy of Sciences 2016
Onderwerpen:
Physical Sciences
Online toegang: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
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