Artificial data set with expression of 10 genes across 15 samples. 
	Columns of the file must match to those of the genotype and covariates data sets.

datasets

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.

Andrey Shabalin

MatrixEQTL

MatrixEQTL: Ultra fast eQTL analysis via large matrix operations

GE function

<tabular>llll</tabular>{
		geneid  	Sam_01   	Sam_02 	...Gene_01 	4.91     	4.63   	...Gene_02 	13.78    	13.14  	......	...	...	...}

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

Description

Arguments

format

References

See Also