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PHIAF
PublicSGNNMD
PublicTDRC
PublicAMMGC
PublicGraphCDR
PublicMVGCN
PublicCSGNN
Publictest123
PublicBDSILP
PublicDisease-Mesh-Similarity
PublicFor each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.NEMII
PublicEPIHC
PublicPredLnc-GFStack
PublicGEEL
PublicSLNPM
PublicGNNPapers
PublicLAGCN
PublicItLnc-BXE
PublicDeepiRNA
PublicrelationGCN
Publicnetwork
PublicsRNA-prediction
PublicCD-LNLP
PublicSCMFDD
PublicSFLLN
PublicThe source code for our paper "SFLLN: a sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions". In this repository, you can find our dataset "feature matrix.xls", "interaction matrix.txt" and source code "SFLLN.py". Please follow the "Readme.txt" for more details.- The source codes for our paper submitted to Neurocomputing in 2017. We propose a linear label propagation method (LPLNP method) to predict unknown lncRNA-protein interactions. In this repository, you can find our dataset and code of individual LPLNP, intergrated LPLNP models, and other state-of-the-art methods. Please follow the Guideline.pdf.
branchapp
Publicthe desktop packege for the paper "Zhang, W., Zhu, X., Fu, Y., Tsuji, J., & Weng, Z. (2016). The prediction of human splicing branchpoints by multi-label learning. IEEE International Conference on Bioinformatics and Biomedicine (pp.254-259). IEEE Computer Society.'piRNAPredictor
Publicdrug-drug-interaction
Public