Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.41.0
Date: 2018-9-26
Depends: R (>= 2.10.0)
Imports: limma
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>
Description: Hidden Ising models are implemented to identify enriched
        genomic regions in ChIP-chip data.  They can be used to analyze
        the data from multiple platforms (e.g., Affymetrix, Agilent,
        and NimbleGen), and the data with single to multiple
        replicates.
LazyData: yes
License: GPL (>= 2)
Packaged: 2019-11-07 03:26:29 UTC; biocbuild
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
git_url: https://git.bioconductor.org/packages/iChip
git_branch: master
git_last_commit: da64c9f
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-06
NeedsCompilation: yes
Built: R 4.0.0; i386-w64-mingw32; 2019-11-07 07:49:54 UTC; windows
Archs: i386, x64
