Genes related to the very early stage of ConA-induced fulminant hepatitis: a gene-chip-based study in a mouse model

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.

ISSN: 1471-2164