Package: HIREewas
Type: Package
Title: Detection of cell-type-specific risk-CpG sites in epigenome-wide
        association studies
Version: 1.29.0
Date: 2018-06-11
Author: Xiangyu Luo <xyluo1991@gmail.com>, Can Yang <macyang@ust.hk>,
        Yingying Wei <yweicuhk@gmail.com>
Maintainer: Xiangyu Luo <xyluo1991@gmail.com>
Description: In epigenome-wide association studies, the measured
        signals for each sample are a mixture of methylation profiles
        from different cell types. The current approaches to the
        association detection only claim whether a
        cytosine-phosphate-guanine (CpG) site is associated with the
        phenotype or not, but they cannot determine the cell type in
        which the risk-CpG site is affected by the phenotype. We
        propose a solid statistical method, HIgh REsolution (HIRE),
        which not only substantially improves the power of association
        detection at the aggregated level as compared to the existing
        methods but also enables the detection of risk-CpG sites for
        individual cell types. The "HIREewas" R package is to implement
        HIRE model in R.
Depends: R (>= 3.5.0)
Imports: quadprog, gplots, grDevices, stats
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, BiocGenerics
biocViews: DNAMethylation, DifferentialMethylation, FeatureExtraction
LazyLoad: yes
License: GPL (>= 2)
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:48:09 UTC
RemoteUrl: https://github.com/bioc/HIREewas
RemoteRef: HEAD
RemoteSha: ff8d94565126058d68843454b02f5bbb77ab1cb0
NeedsCompilation: yes
Packaged: 2025-10-30 06:37:12 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-30 06:39:47 UTC; windows
Archs: x64
