Description

Matrix eQTL is designed for fast eQTL analysis of large datasets. Matrix eQTL can test for association between genotype and gene expression using linear regression with either additive or ANOVA (additive and dominant) genotype effects. The models can include covariates to account for such factors as population stratification, gender, clinical variables, and surrogate variables. Matrix eQTL also supports models with heteroscedastic and/or correlated errors, false discovery rate estimation and separate treatment of local (cis) and distant (trans) eQTLs.

Details

Author(s)

Andrey A Shabalin andrey.shabalin@gmail.com

Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

References

The package website: http://www.bios.unc.edu/research/genomic_software/Matrix_eQTL/

See Also

See Matrix_eQTL_engine for reference and sample code.