semisup
Semi-Supervised Mixture Model
Bioconductor version: 3.24 · Package version: 1.37.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("semisup")Details
| Maintainer | Armin Rauschenberger <armin.rauschenberger@uni.lu> |
| Author | Armin Rauschenberger [aut, cre] |
| License | GPL-3 |
| URL | https://github.com/rauschenberger/semisup |
| Bug Reports | https://github.com/rauschenberger/semisup/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation |
| Package Short Url | https://bioconductor.org/packages/semisup/ |
Citation
From within R, enter citation("semisup"):
Armin Rauschenberger. semisup: Semi-Supervised Mixture Model. doi:10.18129/B9.bioc.semisup, R package version 1.37.0, https://bioconductor.org/packages/semisup.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | semisup_1.37.0.tar.gz |
| Windows binary (x86_64) | semisup_1.37.0.zip |
| macOS binary (arm64) | semisup_1.37.0.tgz |
| macOS binary (x86_64) | semisup_1.37.0.tgz |