Advances in Bioinformatics

Research Article

Network Properties for Ranking Predicted miRNA Targets in Breast Cancer

Table 3

Literature research results for ranking according to PPIN properties. The first part shows information for the ten best ranked putative targets using the “greater than” criterion for clustering coefficient values and the second part the same for using the “smaller than” criterion. The last part shows results for the ten worst ranked genes.
GeneCancer typesArticlesScore
SHC1Men 2a, breast cancer, men 34238.16
CRKMyeloid leukemia chronic10
IRS1Breast cancer10240.49
CEBPBChoriocarcinoma, tumors, leukemia20
SOCS1Carcinoma, colorectal cancer, tumors70
NEDD9Cancer, tumor00
NCOA6Cancer00
NRIP1Carcinoma embryonal, breast cancer846.76
ETS1Leukemia, tumors, leukemia t-cell2723.86
BTRCTumors, cancer, colorectal cancer60
YES1Colon cancer, mammary tumor, colon00
carcinoma
RPS6KA3—00
RHOQ—00
GJA1Carcinoma giant cell, tumors380
MAP3K10—00
MAP3K11Tumors00
KPNA1—00
ACVR2AColon cancer, pancreatic cancer, tumors00
SDC1Carcinoma, breast cancer10
RGS7—00
SMNDC1—00
PURB—00
GGTL3—00
PRPF4B—00
SSFA2—00
POMT2—00
HCN4—00
GRHL1—00
ABCG1—00
MAT2ACarcinoma, cancer, tumor00