Package: episcan 0.0.1
Beibei Jiang
episcan: Scan Pairwise Epistasis
Searching genomic interactions with linear/logistic regression in a high-dimensional dataset is a time-consuming task. This package provides some efficient ways to scan epistasis in genome-wide interaction studies (GWIS). Both case-control status (binary outcome) and quantitative phenotype (continuous outcome) are supported (the main references: 1. Kam-Thong, T., D. Czamara, K. Tsuda, K. Borgwardt, C. M. Lewis, A. Erhardt-Lehmann, B. Hemmer, et al. (2011). <doi:10.1038/ejhg.2010.196>. 2. Kam-Thong, T., B. Pütz, N. Karbalai, B. Müller-Myhsok, and K. Borgwardt. (2011). <doi:10.1093/bioinformatics/btr218>.)
Authors:
episcan_0.0.1.tar.gz
episcan_0.0.1.tar.gz(r-4.5-noble)episcan_0.0.1.tar.gz(r-4.4-noble)
episcan_0.0.1.tgz(r-4.4-emscripten)episcan_0.0.1.tgz(r-4.3-emscripten)
episcan.pdf |episcan.html✨
episcan/json (API)
| # Install 'episcan' in R: |
| install.packages('episcan', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:e2739143f0. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 06 2024 |
| R-4.5-linux | OK | Dec 06 2024 |
Exports:checkchunksizeepiblaster1genoepiblaster2genosepiHSICepiHSIC1genoepiHSIC2genosepiscangetcorWriteSnpPairsWriteSnpPairs_symZtoP
Dependencies:
