XMulti {fabia} | R Documentation |
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.
XMulti
Matrix XMulti
: 102 samples and 5565 probe sets
Broad Institute “Cancer Program Data Sets”: http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi
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.