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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