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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