Table 4 |
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Description of microarray datasets |
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Dataset |
Number of classes |
Class sizes |
Number of genes |
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|
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Lymphoma* [1] (cDNA microarrays) |
K = 3 classes |
B-CLL (29) FL (9) DLBCL (43) |
p = 4,682 |
|
Leukemia [3] (Affymetrix chips) |
K = 3 classes |
ALL B-cell (38) ALL T-cell (9) AML (25) |
p = 3,571 |
|
NCI 60† [6] (cDNA microarrays) |
K = 8 classes |
Breast (7), CNS (6), colon (7), leukemia (6), melanoma (8), NSCLC (9), ovarian (6), renal (8) |
p = 5,244 |
|
Melanoma‡ [30] (cDNA microarrays) |
K = 2 classes |
Group A (19) Group B (12) |
p = 3,613 |
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*The DLBCL class for the lymphoma dataset is likely to contain two subclasses.†For the NCI60 data, the two prostate cell lines and the unknown cell line (ADR-RES) were excluded from our analysis because of their small class size. ‡Note that for the first three datasets, tumor classes were known a priori, whereas for the melanoma dataset the two classes were inferred by Bittner et al. [30] by cluster analysis but not confirmed on an independent dataset. |
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Dudoit and Fridlyand Genome Biology 2002 3:research0036.1 doi:10.1186/gb-2002-3-7-research0036 |
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