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Table 2 The top candidates identified by the GBA algorithm (genes with similar functional attributes are clustered together)

From: A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer

Candidate Genes

Normal

Adenoma

Carcinoma

Inflammation

Condition Specificity

Colon tissue specificity

Secreted Proteins

Transcription Factors

Protein kinases

PTMs

DNA Methylation

GUCA2B

11.01

5.66

7.52

8.05

 

✓

✓

  

✓

✓

MMP1

6.35

9.2

10.28

10.48

  

✓

  

✓

✓

PAPPA

6.51

5.88

7.71

7.12

✓

✓

✓

  

✓

✓

PYY

10.14

4.76

6.87

8.21

✓

✓

✓

  

✓

✓

REG1A

5.71

10.87

10.8

12.17

✓

✓

✓

  

✓

 

MEF2C

8.66

7.36

8.43

9.04

   

✓

   

SOX2

4.18

3.39

4.61

3.89

 

✓

 

✓

  

✓

SPIB

9.11

6.15

6.76

8.26

✓

  

✓

 

✓

✓

WWTR1

8.31

7.22

8.69

8.78

   

✓

 

✓

✓

ZIC2

2.22

4.8

3.53

2.55

 

✓

 

✓

  

✓

CDK8

8.62

8.75

8.96

8.29

   

✓

✓

  

EPHB3

8.58

9.97

8.63

8.12

✓

   

✓

✓

✓

ROR2

5.16

4.4

5.47

5.56

    

✓

 

✓

NPR1

5.02

3.36

4.42

4.71

✓

   

✓

✓

 

TRIB3

6.93

8.76

9.01

7.84

    

✓

  

TRPM6

10.54

6.27

8.04

7.08

✓

✓

  

✓

  

GCG

10.42

6.24

7.69

9.55

✓

✓

✓

  

✓

 

REG3A

4.95

10.34

10.1

11.19

✓

✓

✓

  

✓

 

SERPING1

8.9

8.11

9.28

10.21

 

✓

   

✓

 

SLC4A4

11.76

8.76

9.57

9.81

✓

✓

   

✓