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The implementation of “LDICDL: LncRNA-disease interaction identification based on Collaborative Deep Learning”, Wei Lan, Dehuang Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jianxin Wang, and Yi-Ping Phoebe Chen

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LDICDL

The implementation of “LDICDL: LncRNA-disease interaction identification based on Collaborative Deep Learning”, Wei Lan, Dehuang Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jianxin Wang, and Yi-Ping Phoebe Chen. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, DOI: 10.1109/TCBB.2020.3034910.

Requirement

  • Python 3.6

  • Numpy

  • Sklearn

  • Panda

  • matplotlib

  • random

  • math

  • h5py

  • pickle

Data

The diseases and lncRNAs association matrix: need_lncrna_disease.h5

The diseases features: need_disease_micrna_gene.h5

The lncRNAs features: need_lncrna_gene_micrna_go.h5

Run

The 10-fold program entry: row_roc.py

The denovo program entry: col_denovo_diseaserelated.py

About

The implementation of “LDICDL: LncRNA-disease interaction identification based on Collaborative Deep Learning”, Wei Lan, Dehuang Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jianxin Wang, and Yi-Ping Phoebe Chen

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