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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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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Oxford University Press
2012
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| 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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