DLBCL (Harvard Medical School & Whitehead MIT)

Publication:

Margaret A. Shipp, et al. "Diffuse Large B-cell Lymphoma Outcome Prediction by Gene-expression Profiling and Supervised Machine Learning". Nature Medicine, 8(1):68-74, January 2002

Raw Data:

http://www-genome.wi.mit.edu/cgi-bin/cancer/datasets.cgi

Description:

There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication. First one is DLBCL versus Follicular Lymphoma (FL) morphology. This set of data contains 58 DLBCL samples and 19 FL samples. The second problem is to predict the patient outcome of DLBCL. Among 58 DLBCL patient samples, 32 of them are from cured patients (labelled as 'cured') while 26 of them are from patients with fatal or refractory disease (labelled as 'fatal'). The expression profile contains 6817 genes.

Download:

Our transformed .data and .names format files are available here.

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