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Table 3 Single-to-Multi All Scenario: Total population size (which are multi-omics), number of patients clustered or reassigned to consensus clusters (which are multi-omics), number of supports used to filter the graph, number of clusters generated by ClustOmics, number of clusters generated by COCA, and average number of clusters in the input clusterings

From: Consensus clustering applied to multi-omics disease subtyping

Cancer Total (multi-omics) Clustered (multi-omics) Reassigned (multi-omics) # supports threshold # clusters ClustOmics # clusters COCA Avg # clusters inputs
AML 197 (170) 176 (163) 21 (7) 8 7 4 6.60
BIC 1096 (621) 600 (600) 496 (21) 11 6 2 3.87
COAD 303 (220) 276 (220) 27 (0) 7 6 4 3.47
GBM 578 (274) 434 (262) 144 (12) 9 11 2 4.13
KIRC 534 (183) 316 (174) 218 (9) 9 9 2 4.07
LIHC 377 (367) 363 (354) 14 (13) 8 5 2 4.73
LUSC 501 (341) 337 (321) 164 (20) 8 4 2 4.73
OV 591 (287) 393 (272) 198 (15) 9 9 2 3.47
SARC 261 (257) 261 (257) 0 (0) 8 3 3 4.33
SKCM 368 (351) 345 (329) 23 (22) 8 6 4 4.67