MSC: Mesenchymal Stem Cells data

In bootsPLS: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification

Description

The data is a subset of the data contained in Rohart et al. (2015). It contains 150 samples, either Mesenchymal Stem Cells (MSC) or Non-MSC, and 200 genes.

Usage

data(MSC)

Format

A list containing the following components:

X

data matrix with 150 rows and 200 columns. Each row represents an experimental sample, and each column a single gene.

Y

a vector containing the sample type (MSC or Non-MSC).

Details

This data is a subset of a bigger study; the samples and genes have been randomly selected for this package. All samples have been background corrected, log2 transformed and YuGene normalised.

References

Rohart et al. (2016). A Molecular Classification of Human Mesenchymal Stromal Cells. PeerJ, DOI 10.7717/peerj.1845
Kim-Anh Le Cao, Florian Rohart, Leo McHugh, Othmar Korn, Christine A. Wells. YuGene: A simple approach to scale gene expression data derived from different platforms for integrated analyses. Genomics. http://dx.doi.org/10.1016/j.ygeno.2014.03.001.

bootsPLS documentation built on May 2, 2019, 2:44 a.m.