DOI: 10.18129/B9.bioc.semisup    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see semisup.

Semi-Supervised Mixture Model

Bioconductor version: 3.8

Useful for detecting SNPs with interactive effects on a quantitative trait. This R packages moves away from testing interaction terms, and moves towards testing whether an individual SNP is involved in any interaction. This reduces the multiple testing burden to one test per SNP, and allows for interactions with unobserved factors. Analysing one SNP at a time, it splits the individuals into two groups, based on the number of minor alleles. If the quantitative trait differs in mean between the two groups, the SNP has a main effect. If the quantitative trait differs in distribution between some individuals in one group and all other individuals, it possibly has an interactive effect. Implicitly, the membership probabilities may suggest potential interacting variables.

Author: Armin Rauschenberger [aut, cre]

Maintainer: Armin Rauschenberger <a.rauschenberger at>

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


To install this package, start R (version "3.5") and enter:

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

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:



HTML pkgdown
HTML pkgdown
PDF R Script semisup
PDF   Reference Manual
Text   NEWS


biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version 1.6.0
In Bioconductor since BioC 3.5 (R-3.4) (2 years)
License GPL-3
Depends R (>= 3.0.0)
Imports SummarizedExperiment, VGAM
Suggests knitr, testthat
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package semisup_1.6.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) semisup_1.6.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: