Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network.

Journal: BMC bioinformatics
Published Date: Oct 11, 2018

Abstract

BACKGROUND: Identifying the interactions between proteins and long non-coding RNAs (lncRNAs) is of great importance to decipher the functional mechanisms of lncRNAs. However, current experimental techniques for detection of lncRNA-protein interactions are limited and inefficient. Many methods have been proposed to predict protein-lncRNA interactions, but few studies make use of the topological information of heterogenous biological networks associated with the lncRNAs.

Authors

  • Lei Deng
    1] Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing 100084, China [2] Optical Memory National Engineering Research Center, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
  • Junqiang Wang
    School of Software, Central South University, Changsha, 410075, China.
  • Yun Xiao
    School of Information Science and Technology, Northwest University, Xian710127, PR China.
  • Zixiang Wang
    School of Software, Central South University, Changsha 410075, China.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

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