semisup

DOI: 10.18129/B9.bioc.semisup    

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

Semi-Supervised Mixture Model

Bioconductor version: Development (3.12)

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 "4.0") and enter:

if (!requireNamespace("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")

 

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PDF   Reference Manual
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Details

biocViews Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation
Version 1.13.5
In Bioconductor since BioC 3.5 (R-3.4) (3 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_1.13.5.tar.gz
Windows Binary semisup_1.13.5.zip
macOS 10.13 (High Sierra) semisup_1.13.5.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

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