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Table 1 Multi-to-Multi Scenario: Number of patients initially clustered by ClustOmics, number of patients reassigned to consensus clusters, number of supports used to filter the integration graph, number of consensus clusters generated by ClustOmics and COCA, and average number of clusters in input clusterings

From: Consensus clustering applied to multi-omics disease subtyping

Cancer # patients clustered # patients reassigned # supports threshold # clusters ClustOmics # clusters COCA Avg # clusters inputs
AML 165 5 4 6 3 4.6
BIC 619 2 4 5 2 4.0
COAD 220 0 2 3 3 5.2
GBM 267 7 4 3 3 3.4
KIRC 176 7 3 3 3 4.2
LIHC 363 4 4 5 2 3.2
LUSC 341 0 2 2 2 3.4
OV 285 2 4 5 2 3.4
SARC 257 0 3 3 3 3.4
SKCM 351 0 3 5 3 4.8