CENTIPEDE: CENTIPEDE learns a DNaseI footprint of a transcription factor and predicts its binding sites
Version 1.2

Centipede fits a bayesian hierarchical mixture model to learn TF-specific distribution of experimental data on a particular cell-type for a set of candidate binding sites described by a motif. More documentation is under preparation and will be make available soon at http://centipede.uchicago.edu

Package details

AuthorJacob F Degner, Roger Pique-Regi
MaintainerRoger Pique-Regi <rpique@uchicago.edu>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("CENTIPEDE", repos="http://R-Forge.R-project.org")

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CENTIPEDE documentation built on May 31, 2017, 5:05 a.m.