iChip: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

This package uses hidden Ising models to identify enriched genomic regions in ChIP-chip data. It can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("iChip")
AuthorQianxing Mo
Bioconductor views AgilentChip ChIPchip Microarray OneChannel
Date of publicationNone
MaintainerQianxing Mo <qmo@bcm.edu>
LicenseGPL (>= 2)
Version1.28.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/iChip.R
build
build/vignette.rds
data
data/oct4.rda
data/p53.rda
demo
demo/00Index
demo/iChipdemo.R
inst
inst/doc
inst/doc/iChip.R
inst/doc/iChip.Rnw
inst/doc/iChip.pdf
man
man/enrichreg.Rd man/iChip1.Rd man/iChip2.Rd man/lmtstat.Rd man/oct4.Rd man/p53.Rd
src
src/iChip.c
vignettes
vignettes/iChip.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.