This data set contains the expression of a random subset of 400 genes in 125 samples from 4 independent studies and 3 cell types.
A list containing the following components:
data matrix with 125 rows and 400 columns. Each row represents an experimental sample, and each column a single gene.
a factor indicating the cell type of each sample.
a factor indicating the study from which the sample was extracted.
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.
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.