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Table 3 Subtyping results for each cancer dataset without feature selection

From: Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis

Dataset

Subtyping Identification Methods

CC

PINS

NMF

ICB

SNF

NEMO

AML

No. of clusters

5

5

2

5

7

7

sil. score*

0.02

0.02

0.13

0.05

0.02

0.04

p-value**

0.01

0.01

0.10

0.06

4.0E-03

0.02

GBM

No. of clusters

3

3

2

4

2

6

sil. score

0.11

0.15

0.16

0.13

0.14

0.10

p-value

0.01

0.39

0.46

0.01

0.28

0.03

BIC

No. of clusters

3

3

2

4

4

4

sil. score

-0.01

0.06

0.03

0.00

0.02

0.02

p-value

0.05

0.37

0.09

0.03

0.70

0.41

COAD

No. of clusters

4

3

2

4

3

3

sil. score

0.06

0.08

0.03

0.02

0.08

0.08

p-value

0.53

0.10

0.26

0.23

0.15

0.04

  1. *sil. score: silhouette score; **p-value: p-value for the log-rank test