semisup: Semi-Supervised Mixture Model

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.

Package details

AuthorArmin Rauschenberger [aut, cre]
Bioconductor views Classification Clustering DNASeq Genetics GenomicVariation Microarray MultipleComparison SNP SomaticMutation
MaintainerArmin Rauschenberger <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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semisup documentation built on Nov. 8, 2020, 6:32 p.m.