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MatrixEQTL (version 2.1.1)

Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

Description

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.

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Version

Install

install.packages('MatrixEQTL')

Monthly Downloads

650

Version

2.1.1

License

LGPL-3

Maintainer

Andrey Shabalin

Last Published

February 3rd, 2015

Functions in MatrixEQTL (2.1.1)

plot.MatrixEQTL

Plot histogram or QQ-plot of all p-values
snpsloc

Artificial data for Matrix eQTL sample code: SNP location file.
SNP

Artificial data for Matrix eQTL sample code: Genotype.
MatrixEQTL-package

Matrix eQTL: Ultra fast eQTL analysis via large matrix operations
Matrix_eQTL_main

Main function for fast eQTL analysis in MatrixEQTL package
geneloc

Artificial data for Matrix eQTL sample code: Gene location file.
MatrixEQTL_cis_code

Sample code for cis/trans-eQTL analysis with Matrix eQTL
modelLINEAR

Covariates

Artificial data for Matrix eQTL sample code: Covariates.
SlicedData-class

Class SlicedData for storing large matrices
GE

Artificial data for Matrix eQTL sample code: Gene expression.
modelANOVA

modelLINEAR_CROSS