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HiCNorm: removing biases in Hi-C data via Poisson regression

Summary: We propose a parametric model, HiCNorm, to remove systematic biases in the raw Hi-C contact maps, resulting in a simple, fast, yet accurate normalization procedure. Compared with the existing Hi-C normalization method developed by Yaffe and Tanay, HiCNorm has fewer parameters, runs >1000...

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Bibliografiske detaljer
Main Authors: Hu, Ming, Deng, Ke, Selvaraj, Siddarth, Qin, Zhaohui, Ren, Bing, Liu, Jun S.
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2012
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3509491/
https://ncbi.nlm.nih.gov/pubmed/23023982
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts570
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