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DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models

Summary: Differential Identification using Mixtures Ensemble (DIME) is a package for identification of biologically significant differential binding sites between two conditions using ChIP-seq data. It considers a collection of finite mixture models combined with a false discovery rate (FDR) criteri...

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Detalhes bibliográficos
Main Authors: Taslim, Cenny, Huang, Tim, Lin, Shili
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2011
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3102220/
https://ncbi.nlm.nih.gov/pubmed/21471015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr165
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