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This is the development version of semisup; for the stable release version, see semisup.

Semi-Supervised Mixture Model

Bioconductor version: Development (3.20)

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.

Author: Armin Rauschenberger [aut, cre]

Maintainer: Armin Rauschenberger <armin.rauschenberger at>

Citation (from within R, enter citation("semisup")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

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Reference Manual PDF


biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version 1.29.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends R (>= 3.0.0)
Imports VGAM
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Suggests knitr, testthat, SummarizedExperiment
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Follow Installation instructions to use this package in your R session.

Source Package semisup_1.29.0.tar.gz
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macOS Binary (x86_64) semisup_1.29.0.tgz
macOS Binary (arm64) semisup_1.29.0.tgz
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