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A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets

Current analytic approaches for querying large collections of chromatin immunoprecipitation followed by sequencing (ChIP-seq) data from multiple cell types rely on individual analysis of each data set (i.e., peak calling) independently. This approach discards the fact that functional elements are fr...

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Pubblicato in:J Comput Biol
Autori principali: Zuo, Chandler, Chen, Kailei, Keleş, Sündüz
Natura: Artigo
Lingua:Inglês
Pubblicazione: Mary Ann Liebert, Inc. 2017
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5467113/
https://ncbi.nlm.nih.gov/pubmed/27835030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2016.0138
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