MatrixEQTL-package

MatrixeQTL

MatrixEQTL

Matrix eQTL is designed for fast eQTL analysis on large datasets.
Matrix eQTL can model and test for association between genotype and gene expression using both linear regression and ANOVA models. 
The models can include covariates to account for such factors as population structure, gender, and clinical variables. 
It also supports testing of heteroscedastic models and models with correlated errors.

package

Matrix eQTL

Andrey Shabalin

Shabalin

MatrixeQTL-package

Matrix eQTL is designed for fast eQTL analysis on large
        datasets.  Matrix eQTL can test for association between
        genotype and gene expression using both linear regression and
        ANOVA models.  The models can include covariates to account for
        such factors as population structure, 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.

Matrix eQTL: Ultra fast eQTL analysis via large matrix
        operations

MatrixeQTL-package function

Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

MatrixeQTL-package: Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

Description

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Details

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See Also