Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.64.0
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: 2026-01-24 21:42:28 UTC; root
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:04:19 UTC
RemoteUrl: https://github.com/bioc/iChip
RemoteRef: RELEASE_3_22
RemoteSha: ab53168dbf208c22f98d0d4dbd5a660fc44a2d37
NeedsCompilation: yes
Built: R 4.5.2; x86_64-w64-mingw32; 2026-01-24 21:43:26 UTC; windows
Archs: x64
