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Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning

MOTIVATION: Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which algorithm and what parameters are optimal for any given dataset. In contrast, regions with and without obvious peaks can be easily labeled by visual inspection of aligned read counts...

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Publicat a:Bioinformatics
Autors principals: Hocking, Toby Dylan, Goerner-Potvin, Patricia, Morin, Andreanne, Shao, Xiaojian, Pastinen, Tomi, Bourque, Guillaume
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5408812/
https://ncbi.nlm.nih.gov/pubmed/27797775
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw672
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