Package: HIREewas Type: Package Title: Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies Version: 1.30.0 Date: 2018-06-11 Author: Xiangyu Luo , Can Yang , Yingying Wei Maintainer: Xiangyu Luo 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: Bioconductor 3.23 Date/Publication: 2026-04-28 12:48:54 UTC RemoteUrl: https://github.com/bioc/HIREewas RemoteRef: RELEASE_3_23 RemoteSha: a5e69b029bcf240dba4e6ab8498329ee048af69b NeedsCompilation: yes Packaged: 2026-10-10 14:33:52 UTC; root