Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.52.0
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: 2022-11-01 21:48:08 UTC; biocbuild
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
git_url: https://git.bioconductor.org/packages/iChip
git_branch: RELEASE_3_16
git_last_commit: 7465688
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: yes
Built: R 4.2.1; x86_64-apple-darwin13.4.0; 2022-11-03 11:08:21 UTC; unix
