Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.67.0
Date: 2026-4-23
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: 2026-07-04 01:03:57 UTC; root
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:34:27 UTC
RemoteUrl: https://github.com/bioc/iChip
RemoteRef: HEAD
RemoteSha: 1643a81cbe27e41c9ca5ca019102a0d0da5aba5e
NeedsCompilation: yes