Global Cancer Map

The Global Cancer Map datasets consist of gene expression data for 218 tumor samples, spanning 14 common tumor types, and 90 normal tissue samples, assayed on the Affymetrix Hu6800 and Hu35KsubA chips.

Sridhar Ramaswamy
Data Info: 

Gene expression array files on combined Affymetrix Hu6800 and Hu35KsubA chips, in GenePattern res file format, for training, test, total, and poorly differentiated cancer samples.
Affymetrix CEL files for 308 cancer and normal samples
Class (cls) files mapping sample names to phenotypic annotation

Publication Info: 
Multiclass cancer diagnosis using tumor gene expression signatures
Sridhar Ramaswamy, Pablo Tamayo, Ryan Rifkin, Sayan Mukherjee, Chen-Hsiang Yeang, Michael Angelo, Christine Ladd, Michael Reich, Eva Latulippe, Jill P Mesirov, Tomaso Poggio, William Gerald, Massimo Loda, Eric S Lander, Todd R Golub, PNAS 98: 15149-15154