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MatrixEQTL (version 2.3)

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. For more details see Shabalin (2012) .

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Version

Install

install.packages('MatrixEQTL')

Monthly Downloads

633

Version

2.3

License

LGPL-3

Maintainer

Andrey A Shabalin

Last Published

December 22nd, 2019

Functions in MatrixEQTL (2.3)

Covariates

Artificial data for Matrix eQTL sample code: Covariates.
Matrix_eQTL_main

Main function for fast eQTL analysis in MatrixEQTL package
SlicedData-class

Class SlicedData for storing large matrices
modelANOVA

MatrixEQTL-package

Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
MatrixEQTL_cis_code

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

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

Artificial data for Matrix eQTL sample code: Genotype.
modelLINEAR

geneloc

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

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

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