CBreast {fabia}R Documentation

Subclasses of van't Veer breast cancer microarray data set

Description

Microarray data from Broad Institute “Cancer Program Data Sets” which was produced by van't Veer et al. 2002. Array S54 was removed because it is an outlier.

Goal was to find a gene signature to predict the outcome of a cancer therapy that is to predict whether metastasis will occur. A 70 gene signature has been discovered.

Here we want to find subclasses in the data set.

Hoshida et al. 2007 found 3 subclasses and verified that 50/61 cases from class 1 and 2 were ER positive and only in 3/36 from class 3.

XBreast is the data set with 97 samples and 1213 genes, CBreast are the three subclasses from Hoshida et al. 2007.

Usage

CBreast

Format

Vector CBreast of 97 samples giving the three subclasses from Hoshida.

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.

van't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, et al. ‘Gene expression profiling predicts clinical outcome of breast cancer’, Nature 415:530-536, 2002.


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