bioconductor-semisup
Semi-Supervised Mixture Model
Semi-Supervised Mixture Model
To install this package, run one of the following:
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.
Summary
Semi-Supervised Mixture Model
Last Updated
Dec 14, 2024 at 14:53
License
GPL-3
Total Downloads
39.4K
Supported Platforms
Unsupported Platforms