Fig. 1.

Flowchart of PLIPCOM consists of five steps. a Protein-protein interaction, protein-lncRNA association, and lncRNA co-expression data are extracted from multiple public databases. b Global heterogeneous network is built by integrating three subnetworks. c The diffusion scores are calculated using random walks with restart (RWR) on the heterogeneous network, and then dimensionality reduction is conducted to obtain low-dimensional topological features using singular value decomposition (SVD). d For each lncRNA-protein pair, the HeteSim scores are calculate by counting the numbers of different paths linking them on the heterogeneous network. e The diffusion features and HeteSim features are combined to train the Gradient tree boosting (GTB) classifier for predicting protein-lncRNA interactions