semisup

DOI: 10.18129/B9.bioc.semisup    

Semi-Supervised Mixture Model

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML		article frame
HTML		vignette frame
PDF	R Script	vignette source
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version	1.16.0
In Bioconductor since	BioC 3.5 (R-3.4) (4.5 years)
License	GPL-3
Depends	R (>= 3.0.0)
Imports	VGAM
LinkingTo
Suggests	knitr, testthat, SummarizedExperiment
SystemRequirements
Enhances
URL	https://github.com/rauschenberger/semisup
BugReports	https://github.com/rauschenberger/semisup/issues
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_1.16.0.tar.gz
Windows Binary	semisup_1.16.0.zip
macOS 10.13 (High Sierra)	semisup_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/semisup
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/semisup
Package Short Url	https://bioconductor.org/packages/semisup/
Package Downloads Report	Download Stats