most citedVisual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.GN2014★ 2 cited

Visual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors

Toby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin +2

Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which method and what parameters are optimal for any given data set. In contrast…