This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

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

semisup

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

Semi-Supervised Mixture Model

Bioconductor version: Development (3.18)

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 uni.lu>

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

Installation

To install this package, start R (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("semisup")

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

Documentation

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

browseVignettes("semisup")
article frame HTML
vignette frame HTML
vignette source PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version 1.25.0
In Bioconductor since BioC 3.5 (R-3.4) (6.5 years)
License GPL-3
Depends R (>= 3.0.0)
Imports VGAM
Linking To
Suggests knitr, testthat, SummarizedExperiment
System Requirements
Enhances
URL https://github.com/rauschenberger/semisup
Bug Reports https://github.com/rauschenberger/semisup/issues
See More
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_1.25.0.tar.gz
Windows Binary semisup_1.25.0.zip
macOS Binary (x86_64) semisup_1.25.0.tgz
macOS Binary (arm64) semisup_1.25.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/semisup
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/semisup
Bioc Package Browser https://code.bioconductor.org/browse/semisup/
Package Short Url https://bioconductor.org/packages/semisup/
Package Downloads Report Download Stats