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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) ‚ÄÉCancer 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]