semisup
Semi-Supervised Mixture Model
Bioconductor version: 3.23 · Package version: 1.36.0
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 |
| Downloads rank | 357 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, Clustering, DNASeq, Genetics, GenomicVariation, Microarray, MultipleComparison, SNP, Software, SomaticMutation |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | semisup_1.36.0.tar.gz |
| Windows binary (x86_64) | semisup_1.36.0.zip |
| macOS binary (arm64) | semisup_1.36.0.tgz |
| macOS binary (x86_64) | semisup_1.36.0.tgz |