Table 1 Summary of the six cancer gene expression datasets used to test the NMF-MCC algorithm
From: Non-negative matrix factorization by maximizing correntropy for cancer clustering
Dataset name | Diagnostic task | Samples ( N) | Genes ( D) |  Cancer Classes ( K) | Ref |
|---|---|---|---|---|---|
Leukemia | Acute myelogenous leukemia | 72 | 5327 | 3 | [25] |
Brain Tumor | 5 human brain tumor types | 90 | 5920 | 5 | [26] |
Lung Cancer | 4 lung cancer types and normal tissues | 203 | 12600 | 5 | [27] |
9 Tumors | 9 various human tumor types | 60 | 5726 | 9 | [28] |
SRBCT | Small, round blue cell tumors | 83 | 2308 | 4 | [29] |
DLBCL | Diffuse large B-cell lymphomas | 77 | 5469 | 2 | [24] |