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Differential principal component analysis of ChIP-seq

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 sing...

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Podrobná bibliografie
Hlavní autoři: Ji, Hongkai, Li, Xia, Wang, Qian-fei, Ning, Yang
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3637734/
https://ncbi.nlm.nih.gov/pubmed/23569280
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1204398110
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