epistasis (version 0.0.1-1)
Detecting Epistatic Selection with Partially Observed Genotype
Data
Description
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.