期刊论文

英文

IPSJ Transactions on Bioinformatics

1882-6679

2019

12

1-8

10.2197/ipsjtbio.12.1

Acknowledgments The research is funded by the “Twelfth Five-year” Education Science Plan Key Project of Hunan province of China (Grant No.XJK014AXX002), the Key Project of the Education Department of Hunan Province (Grant No.17A037) and the Natural Science Foundation of Hunan province, China (Grant No.2018JJ2024).

本校为其他机构

The detection of miRNA regulatory modules (MRMs) can facilitate the analysis of miRNA combination effects in aberrant transcriptional regulatory networks. Existing methods suffer from stochastic or require a predetermined number of regulatory modules. We here develop a parameter-free computational framework named DeMine to predict MRMs. Briefly, DeMine is an information entropy-based method implemented by three steps. It first transforms miRNA regulatory network into a miRNA-miRNA synergistic network, and then detects miRNA clusters by maximizi...