README.md

In fanglab/MatrixEpistasis: An ultrafast exhaustive epistasis scan for quantitative traits with covariate adjustment

MatrixEpistasis

Ultrafast exhaustive epistasis scan for quantitative traits with covariate adjustment

Description

1. MatrixEpistasis exhaustively scans all pairwise genetic interactions for quantitative traits.
2. MatrixEpistasis works on both discrete genotype and continuous imputed genotype data.
3. MatrixEpistasis can adjust covariates for epistasis detection, such as gender, age, and population structure.
4. The excellent time-efficiency of MatrixEpistasis is achieved by the following innovations:
5. it expresses the intensive computation in terms of large matrix inner products (notably, no matrix inverse), avoiding separately calculating each epistasis model;
6. out of all regression coefficients (including two additive terms, one interaction term and multiple covariate terms), MatrixEpistasis only calculates the test statistic for the interaction term, largely alleviating the computational complexity;
7. the resulting test statistics from MatrixEpistasis are comparable, so that MatrixEpistasis can calculate p-values only for those exceeding the required significance level, therefore discarding a large number of incomplete beta or gamma functions.

Dependencies

• R >= 2.15.0

Installation:

1. Install the devtools package

   install.packages("devtools")

1. Load the devtools package

   library(devtools)

1. Install MatrixEpistasis

   install_github("fanglab/MatrixEpistasis")

Example:

See Tutorial and Manual

Citation:

Shijia Zhu & Gang Fang, Matrix Epistasis: ultrafast, exhaustive epistasis scan for quantitative traits with covariate adjustment, Bioinformatics, 2018. link

fanglab/MatrixEpistasis documentation built on May 25, 2019, 5:22 p.m.