Table 2

26 genes identified by gene co-expression network with k-core algorithm

Gene symbol

Clustering Coefficient

Degree

k-core


ACSL1

0.418894827

34

11


ALDH8A1

0.489230782

26

11


CAR5A

0.589473665

20

11


CMTM8

0.464615375

26

11


FASTKD1

0.594736814

20

11


FBXO3

0.467980295

29

11


GPD1L

0.637426913

19

11


HLF

0.757352948

17

11


KLB

0.608187139

19

11


MAP2K6

0.70588237

17

11


MPDZ

0.377896607

34

11


MSRB2

0.509803951

18

11


MTAP

0.608333349

16

11


ORMDL1

0.430107534

31

11


PARD3

0.619047642

15

11


PDE7B

0.486166

23

11


POLG2

0.565217376

23

11


SLC29A1

0.393548399

31

11


SOX5

0.492307693

26

11


STARD5

0.666666687

15

11


TERT

0.452631593

20

11


COLEC11

0.494505495

14

10


DPP4

0.495238096

15

10


CDH2

0.561904788

15

9


COLEC12

0.604395628

14

9


FN3K

0.551282048

13

9


Degrees describe the number of single gene that regulates other genes represent the size of the cycle node. The higher the degree, the more central the gene occurs within the network. The clustering coefficient can be used to estimate the complexity of interactions among genes that neighbor the core gene with the exception of core gene participation. The lower the clustering coefficients, the more independent of the core gene are the interactions among genes in the neighborhood of the core gene. A k-core of a gene co-expression network usually contains cohesive groups of genes. The higher the k-core, the more central the genes occurs within the network. In this study, the top k-value is 11, which is considered to have a core status within a large-scale gene network made up of differential genes from profiles No.9 and No. 16.

Chen et al. BMC Genomics 2010 11:240   doi:10.1186/1471-2164-11-240

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