• The 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.

    Python 1 Updated Nov 17, 2018
  • 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.

    MATLAB 5 4 Updated Jun 5, 2017
  • the 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.'

    CSS 1 Updated Jun 2, 2017
  • The source code for the paper "A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs",Zhang et al. (2016) 17: 329. doi:10.1186/s12859-016-1206-3

    Python Updated Apr 15, 2017
  • The source code for the paper "Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data",Zhang et al. BMC Bioinformatics (2017) 18:18.

    Python 1 Updated Apr 15, 2017

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