Multi_A {fabia}R Documentation

Microarray data set of Su on different mammalian tissue types

Description

Microarray data from Broad Institute “Cancer Program Data Sets” which was produced by Su et al. 2002.

Gene expression from human and mouse samples across a diverse array of tissues, organs, and cell lines have been profiled. The goal was to have a reference for the normal mammalian transcriptome.

Here we want to identify the subclasses which correspond to the tissue types.

Usage

Multi_A

Format

Matrix XMulti: 102 samples and 5565 probe sets, Vector CMulti: four classes of tissue types.

Source

Broad Institute “Cancer Program Data Sets”: http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi

References

Hoshida Y, Brunet J-P, Tamayo P, Golub TR, Mesirov JP, ‘Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets’, PLoS ONE 2(11): e1195, 2007.

Su AI, Cooke MP, Ching KA, Hakak Y, Walker JR, et al. ‘Large-scale analysis of the human and mouse transcriptomes’, Proc. Natl. Acad. Sci. USA 99:4465-4470, 2002.


[Package fabia version 0.1.1 Index]