Small example extracted from a microarray data set.

The microarray data set is the study on the prostate cancer by Singh et al. The collection of the microarray is hgu95av2, and the gene groups are thus given by the information in the hgu95av2.db Bioconductor library (see Carslon et al.).

Source

M. Carlson, S. Falcon, H. Pages, N. Li. hgu95av2.db: Affymetrix Human Genome U95 Set annotation data (chip hgu95av2). R package version 2.2.12.
D. Singh, P. G. Febbo, K. Ross, D. G. Jackson, J. Manola, C. Ladd, P. Tamayo, A. A. Renshaw, A. V. D'Amico, J. P. Richie, E. S. Lander, M. Loda, P. W. Kantoff, T. R. Golub, W. R. Sellers, 2002. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell, Department of Adult Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA., 1, 203-209.

Details

The dataset is a list containing:

a \(102 \times 100\) matrix \(x\) of 100 genes randomly chosen from the data set of Singh et al.,
a list genegroups containing 100 vectors of KEGG pathway IDs (which each gene belongs to).

Examples


data(expl)
dim(expl$x)
#> [1] 102 100
length(expl$genegroups)
#> [1] 100