CDLBCL {fabia} | R Documentation

## Microarray data set of Rosenwald diffuse large-B-cell lymphoma

### Description

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.

### Usage

    CDLBCL

### Format

Vector `CDLBCL` of 180 samples giving the three subclasses according to Hoshida et al. 2007.

### 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.

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.

[Package fabia version 0.1.1 Index]