DLBCL_B {fabia} | R Documentation |
Microarray data from Broad Institute “Cancer Program Data Sets” which was produced by Rosenwald et al. 2002.
Goal was to predict the survival after chemotherapy.
Hoshida divided the data set into three classes: “OxPhos” (oxidative phosphorylation), “BCR” (B-cell response), and “HR” (host response).
We want to identify these subclasses.
DLBCL_B
Matrix XDLBCL
: 180 samples and 661 probe sets,
Vector CDLBCL
:
three subclasses according to Hoshida et al. 2007.
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.
Rosenwald A, Wright G, Chan WC, Connors JM, Campo E, et al. ‘The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma’, New Engl. J. Med. 346: 1937-1947, 2002.