Package: BPRMeth
Type: Package
Title: Model higher-order methylation profiles
Version: 1.4.0
Authors@R: person("C. A.", "Kapourani", email =
        "kapouranis.andreas@gmail.com", role = c("aut", "cre"))
Author: Chantriolnt-Andreas Kapourani [aut, cre]
Maintainer: Chantriolnt-Andreas Kapourani
 <kapouranis.andreas@gmail.com>
Description: BPRMeth package uses the Binomial Probit Regression
        likelihood to model methylation profiles and extract higher
        order features. These features quantitate precisely notions of
        shape of a methylation profile. Using these higher order
        features across promoter-proximal regions, we construct a
        powerful predictor of gene expression. Also, these features are
        used to cluster proximal-promoter regions using the EM
        algorithm.
Depends: R (>= 3.3.0), GenomicRanges
License: GPL-3
LazyData: true
RoxygenNote: 5.0.1
Imports: assertthat, methods, MASS, doParallel, parallel, e1071, earth,
        foreach, randomForest, stats, IRanges, S4Vectors, data.table,
        graphics
Suggests: testthat, knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
biocViews: DNAMethylation, GeneExpression, GeneRegulation, Epigenetics,
        Genetics, Clustering, FeatureExtraction, Regression, RNASeq,
        Bayesian, KEGG, Sequencing, Coverage
NeedsCompilation: no
Packaged: 2017-10-31 03:38:10 UTC; biocbuild
Built: R 3.4.2; ; 2017-10-31 16:21:26 UTC; unix
