DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations

Chenliang Xie, Haochen Zhao, Jianxin Wang. DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations. In Wei Peng 0004, Zhipeng Cai 0001, Pavel Skums, editors, Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II. Volume 14955 of Lecture Notes in Computer Science, pages 445-457, Springer, 2024. [doi]

@inproceedings{XieZW24,
  title = {DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations},
  author = {Chenliang Xie and Haochen Zhao and Jianxin Wang},
  year = {2024},
  doi = {10.1007/978-981-97-5131-0_38},
  url = {https://doi.org/10.1007/978-981-97-5131-0_38},
  researchr = {https://researchr.org/publication/XieZW24},
  cites = {0},
  citedby = {0},
  pages = {445-457},
  booktitle = {Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II},
  editor = {Wei Peng 0004 and Zhipeng Cai 0001 and Pavel Skums},
  volume = {14955},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-97-5131-0},
}