Deep learning of multimodal networks with topological regularization for drug repositioning
Author:
Funder
Ministry of Education, Culture, Sports, Science and Technology of Japan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s13321-024-00897-y.pdf
Reference72 articles.
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2. Luo H, Li M, Yang M et al (2021) Biomedical data and computational models for drug repositioning: a comprehensive review. Brief Bioinform 22:1604–1619
3. Grover A, Leskovec J (2016) node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, New York, pp 855–864
4. Li J, Li J, Kong M et al (2021) SVDNVLDA: predicting lncRNA-disease associations by singular value decomposition and node2vec. BMC Bioinform 22:538
5. Luo H, Wang J, Li M et al (2019) Computational drug repositioning with random walk on a heterogeneous network. IEEE/ACM Trans Comput Biol Bioinform 16:1890–1900
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