Differential principal component analysis of ChIP-seq.
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ABSTRACT:
SUBMITTER: Ji H
PROVIDER: S-EPMC3637734 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Publications
Differential principal component analysis of ChIP-seq.
Ji Hongkai H Li Xia X Wang Qian-fei QF Ning Yang Y
Proceedings of the National Academy of Sciences of the United States of America 20130408 17
We propose differential principal component analysis (dPCA) for analyzing multiple ChIP-sequencing datasets to identify differential protein-DNA interactions between two biological conditions. dPCA integrates unsupervised pattern discovery, dimension reduction, and statistical inference into a single framework. It uses a small number of principal components to summarize concisely the major multiprotein synergistic differential patterns between the two conditions. For each pattern, it detects and ...[more]
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