MatrixEQTL: Matrix eQTL: Ultra fast eQTL analysis via large matrix
operations
Matrix eQTL is designed for fast eQTL analysis on large
datasets. Matrix eQTL can test for association between
genotype and gene expression using linear regression with
either additive or ANOVA genotype effects. The models can
include covariates to account for factors as population
stratification, gender, and clinical variables. It also
supports models with heteroscedastic and/or correlated errors,
false discovery rate estimation and separate treatment of local
(cis) and distant (trans) eQTLs.
| Version: |
1.6.1 |
| Depends: |
R (≥ 2.12.0), methods |
| Published: |
2012-05-25 |
| Author: |
Andrey Shabalin |
| Maintainer: |
Andrey Shabalin <shabalin at email.unc.edu> |
| License: |
LGPL-3 |
| CRAN checks: |
MatrixEQTL results |
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