Description

This data set contains the expression of a random subset of 400 genes in 125 samples from 4 independent studies and 3 cell types.

Usage

Format

A list containing the following components:

list("gene")

data matrix with 125 rows and 400 columns. Each row represents an experimental sample, and each column a single gene.

list("celltype")

a factor indicating the cell type of each sample.

list("study")

a factor indicating the study from which the sample was extracted.

Details

This data set contains the expression of a random subset of 400 genes in 125 samples from 4 independent studies and 3 cell types. Those studies can be combined and analysed using the MINT procedure.

Value

none

References

Rohart F, Eslami A, Matigian, N, Bougeard S, Lê Cao K-A (2017). MINT: A multivariate integrative approach to identify a reproducible biomarker signature across multiple experiments and platforms. BMC Bioinformatics 18:128.