Predicts lncRNA-protein interaction. LPI-ETSLP integrates lncRNA-lncRNA similarity network and protein-protein similarity network to predict potential lncRNA-protein interactions. This method is based on the semi supervised learning strategy, which mainly uses the similarity between known data to infer the unknown data. Compared to others machine learning models, LPI-ETSLP does not require negative samples.
School of Life Science, Liaoning University, Shenyang, China; School of Mathematics, Liaoning University, Shenyang, China; Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Liaoning Province, Shenyang, China; Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, China
LPI-ETSLP funding source(s)
Supported by the National Natural Science Foundation of China (No: 31570160), Innovation Team Project 10 (No: LT2015011), General Research Project Foundation (No: L2014001) of Education Department of Liaoning Province, Large-scale Equipment Shared Services Project (No: F15165400), Applied Basic Research Project (No: F16205151) of Science and Technology Bureau of Shenyang, Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Research Center for Computer Simulating and Information Processing of Biomacromolecules of Liaoning Province.