<!-- README.md is generated from README.Rmd. Please edit that file --> [](https://travis-ci.org/rauschenberger/semisup) [](https://ci.appveyor.com/project/rauschenberger/semisup) [](https://codecov.io/github/rauschenberger/semisup?branch=master) ## Scope 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 studies and differential expression analyses. ## Installation The package semisup depends on [R \>= 3.0.0](https://cran.r-project.org/), and is available from [Bioconductor](http://bioconductor.org/packages/semisup/): ``` r if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("semisup") ``` Alternatively, it can be installed from [GitHub](https://github.com/rauschenberger/semisup). This requires the package [devtools](https://CRAN.R-project.org/package=devtools): ``` r devtools::install_github("rauschenberger/semisup",build_vignettes=TRUE) ``` Please restart R before loading the package and its documentation: ``` r library(semisup) utils::help(semisup) utils::vignette("semisup") ``` ## Reference A Rauschenberger, RX Menezes, MA van de Wiel, NM van Schoor, and MA Jonker (2020). Semi-supervised mixture test for detecting markers associated with a quantitative trait. Manuscript in preparation. (outdated version: [html](https://arxiv.org/abs/1805.09175) [pdf](https://arxiv.org/pdf/1805.09175)) [](http://bioconductor.org/packages/devel/bioc/html/semisup.html#archives) [](http://bioconductor.org/packages/stats/bioc/semisup/) [](https://support.bioconductor.org/t/semisup/) [](http://bioconductor.org/packages/devel/bioc/html/semisup.html#since) [](http://bioconductor.org/checkResults/devel/bioc-LATEST/semisup/)