spls (version 2.2-3)

lymphoma: Lymphoma Gene Expression Dataset

Description

This is the Lymphoma Gene Expression dataset used in Chung and Keles (2010).

Usage

data(lymphoma)

Format

A list with two components:

x

Gene expression data. A matrix with 62 rows and 4026 columns.

y

Class index. A vector with 62 elements.

Details

The lymphoma dataset consists of 42 samples of diffuse large B-cell lymphoma (DLBCL), 9 samples of follicular lymphoma (FL), and 11 samples of chronic lymphocytic leukemia (CLL). DBLCL, FL, and CLL classes are coded in 0, 1, and 2, respectively, in y vector. Matrix x is gene expression data and arrays were normalized, imputed, log transformed, and standardized to zero mean and unit variance across genes as described in Dettling (2004) and Dettling and Beuhlmann (2002). See Chung and Keles (2010) for more details.

References

Chung D and Keles S (2010), "Sparse partial least squares classification for high dimensional data", Statistical Applications in Genetics and Molecular Biology, Vol. 9, Article 17.

Dettling M (2004), "BagBoosting for tumor classification with gene expression data", Bioinformatics, Vol. 20, pp. 3583--3593.

Dettling M and Beuhlmann P (2002), "Supervised clustering of genes", Genome Biology, Vol. 3, pp. research0069.1--0069.15.

Examples

# NOT RUN {
data(lymphoma)
lymphoma$x[1:5,1:5]
lymphoma$y
# }