Article

AC-PCA: simultaneous dimension reduction and adjustment for confounding variation

2016-02-22

Abstract excerpt

Dimension reduction methods are commonly applied to high-throughput biological datasets. However, the results can be hindered by confounding factors, either biologically or technically originated. In this study, we extend Principal Component Analysis to propose AC-PCA for simultaneous dimension reduction and adjustment for confounding variation. We show that AC-PCA can adjust for a) variations across individual do...

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Literature Corpus work: 3a0e97de-1af1-5a48-abf5-35c82fab32fb
DOI: 10.1101/040485

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