Package: semisup
Version: 1.36.0
Title: Semi-Supervised Mixture Model
Description: Implements a parametric semi-supervised mixture model. The
        permutation test detects markers with main or interactive
        effects, without distinguishing them. Possible applications
        include genome-wide association analysis and differential
        expression analysis.
biocViews: SNP, GenomicVariation, SomaticMutation, Genetics,
        Classification, Clustering, DNASeq, Microarray,
        MultipleComparison
Depends: R (>= 3.0.0)
Imports: VGAM
Suggests: knitr, testthat, SummarizedExperiment
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 7.0.0
URL: https://github.com/rauschenberger/semisup
BugReports: https://github.com/rauschenberger/semisup/issues
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:45:32 UTC
RemoteUrl: https://github.com/bioc/semisup
RemoteRef: RELEASE_3_23
RemoteSha: 7cbf35e03582a35db4d6c175eb9afd5f5dc8b6be
NeedsCompilation: no
Packaged: 2026-07-04 22:23:05 UTC; root
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>