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Table 4 The detailed predictions on the All Tumor dataset. All Tumor dataset: testing result of the Disc-GS-KNN classifier by setting 160 gene clusters to select 80 genes. 36 out of the 46 predictions were correct (in bold).

From: Selecting dissimilar genes for multi-class classification, an application in cancer subtyping

# Samples

BR

PR

LU

C

LY

BL

ML

U

LE

R

PA

O

MS

CNS

Breast (BR)

3

2

    

1

        

Prostate (PR)

2

 

0

   

1

        

Lung (LU)

3

  

2

      

1

    

Colorectal (C)

3

   

3

          

Lymphoma (LY)

6

    

6

         

Bladder (BL)

3

     

2

1

       

Melanoma (ML)

2

      

2

       

Uterus-adeno (U)

2

       

2

      

Leukemia (LE)

6

        

5

1

    

Renal (R)

3

  

1

  

1

   

1

 

1

  

Pancreas (PA)

3

   

1

      

2

   

Ovary (O)

3

     

1

     

2

  

Mesothelioma (MS)

3

            

3

 

CNS

4

             

4

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BMC Bioinformatics

ISSN: 1471-2105

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