rauschenberger/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.

Getting started

Package details

Bioconductor views Classification Clustering DNASeq Genetics GenomicVariation Microarray MultipleComparison SNP SomaticMutation
Maintainer
LicenseGPL-3
Version1.13.5
URL https://github.com/rauschenberger/semisup
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rauschenberger/semisup")
rauschenberger/semisup documentation built on May 11, 2020, 4 p.m.