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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