Detecting Epistatic Selection with Partially Observed Genotype Data

An efficient multi-core package to reconstruct an underlying network of genomic signatures of high-dimensional epistatic selection from partially observed genotype data. The phenotype that we consider is viability. The network captures the conditional dependent short- and long-range linkage disequilibrium structure of genomes and thus reveals aberrant marker-marker associations that are due to epistatic selection. We target on high-dimensional genotype data where number of variables (markers) is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("epistasis")

0.0.1-1 by Pariya Behrouzi, 4 years ago


Browse source code at https://github.com/cran/epistasis


Authors: Pariya Behrouzi , Danny Arends and Ernst C. Wit


Documentation:   PDF Manual  


GPL-3 license


Imports methods

Depends on Matrix, glasso, tmvtnorm, igraph, parallel


See at CRAN