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Papers: 10.1093/bioinformatics/btw672

https://doi.org/10.1093/bioinformatics/btw672

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

Cited by: 25
Author(s): Toby Dylan Hocking, Patricia Goerner-Potvin, Andréanne Morin, Xiaojian Shao, Tomi Pastinen, Guillaume Bourque
Published: over 9 years ago

Software Mentions 3

cran: PeakSegDP
Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data
Papers that mentioned: 1
Very Likely Science (85)
pypi: browser
A package to prevent Dependency Confusion attacks against Yandex.
Papers that mentioned: 2,125
Very Likely Science (65)
pypi: MACS
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,233
Very Likely Science (75)