semisup

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see semisup.

Semi-Supervised Mixture Model

Bioconductor version: 3.21

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 "4.5") and enter:


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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation

Version 1.32.0

In Bioconductor since BioC 3.5 (R-3.4) (8.5 years)

License GPL-3

Depends R (>= 3.0.0)

Imports VGAM

System Requirements

URL https://github.com/rauschenberger/semisup

Bug Reports https://github.com/rauschenberger/semisup/issues

Suggests knitr, testthat, SummarizedExperiment

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Package Archives

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

Source Package semisup_1.32.0.tar.gz

Windows Binary (x86_64) semisup_1.32.0.zip

macOS Binary (x86_64) semisup_1.32.0.tgz

macOS Binary (arm64) semisup_1.32.0.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/

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