Skip to main content

Table 8 Clustering breast cancer and muscular dystrophy relevant genes by different CVs and the multi-view approach

From: Gene prioritization and clustering by multi-view text mining

CV

Breast Cancer

Muscular Dystrophy

mis-partitioned genes

LDDB

22

2

RP11-49G10.8, FKTN

 

0

24

 

eVOC

22

2

RP11-49G10.8, FKTN

 

7

17

LMNA, COL6A1, MYF6, CHEK2, SGCD, FKRP, DMD

MPO

23

1

RP11-49G10.8

 

1

23

SGCD

GO

23

1

RP11-49G10.8

 

7

17

LMNA, COL6A1, MYF6, CHEK2, SGCD, FKRP, DMD

MeSH

23

1

RP11-49G10.8

 

2

22

SGCD, COL6A3

SNOMED

24

0

 
 

6

18

LMNA, COL6A1, MYF6, TRIM32, SGCD, DMD

OMIM

24

0

 
 

1

23

SGCD

Uniprot

24

0

 
 

4

20

MYF6, CHEK2, SGCD, FKRP

KO

19

5

SLC22A18, RP11-49G10.8, FKTN, PABPN1, CAPN3

 

6

18

PPM1D, MYF6, SGCD, FKRP, COL6A3, DYSF

Multi-view (WL)

24

0

 
 

0

24

Â