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semisup

This is the released version of semisup; for the devel version, see semisup.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

Semi-Supervised Mixture Model

DOI: 10.18129/B9.bioc.semisup

Bioconductor version: Release (3.23)

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")):

Armin Rauschenberger. semisup: Semi-Supervised Mixture Model. doi:10.18129/B9.bioc.semisup, R package version 1.36.0, https://bioconductor.org/packages/semisup.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

Details

Package Archives

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