semisup

Semi-Supervised Mixture Model


Bioconductor version: Release (3.19)

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 "4.4") 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

Details

biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version 1.28.0
In Bioconductor since BioC 3.5 (R-3.4) (7.5 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
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Suggests knitr, testthat, SummarizedExperiment
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Package Archives

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

Source Package semisup_1.28.0.tar.gz
Windows Binary semisup_1.28.0.zip (64-bit only)
macOS Binary (x86_64) semisup_1.28.0.tgz
macOS Binary (arm64) semisup_1.28.0.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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