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Table 1 Cross-dataset comparisons of converged subtype signatures.

From: A gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastoma

Datasets and subtypes

 

Northcott90

 

Kool62

 

# s.g.

 

A

B

C

(# o.v.g.)

A

B

C

(# o.v.g.)

(# n.s.g., %)

Cho73

A

136

0

1

 

207

2

6

 

345 (128, 37.1)

B

4

64

3

 

6

105

6

 

222 (56, 25.2)

C

0

1

37

 

3

5

66

 

110 (60, 54.5)

(# o.v.g.)

   

(237)

   

(378)

 

Northcott90

A

   

260

1

2

 

377 (97, 25.8)

B

   

1

110

2

 

175 (45, 25.7)

C

   

1

0

81

 

150 (77, 51.3)

(# o.v.g.)

       

(451)

 

# s.g.

377

175

150

757

335

307

  

(# n.s.g.)

(97)

(45)

(77)

(219)

(126)

(172)

  

(%)

   

(28.9)

(37.6)

(56.0)

  
  1. The datasets have different numbers of probe-sets and were normalized separately, leading to different numbers of signature genes for different datasets of a subtype. o.v.g.=overlapping genes; s.g.=signature genes; n.s.g.=negative signature genes.
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BMC Bioinformatics

ISSN: 1471-2105

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