%0 Journal Article %1 journals/jamia/YangXWCZ21 %A Yang, Jiannan %A Xu, Zhongzhi %A Wu, William Ka Kei %A Chu, Qian %A Zhang, Qingpeng %D 2021 %J J. Am. Medical Informatics Assoc. %K dblp %N 11 %P 2336-2345 %T GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction. %U http://dblp.uni-trier.de/db/journals/jamia/jamia28.html#YangXWCZ21 %V 28

@article{journals/jamia/YangXWCZ21, added-at = {2024-02-05T00:00:00.000+0100}, author = {Yang, Jiannan and Xu, Zhongzhi and Wu, William Ka Kei and Chu, Qian and Zhang, Qingpeng}, biburl = {https://www.bibsonomy.org/bibtex/25b7f35d74facf2db001389ebd1b84235/dblp}, ee = {https://doi.org/10.1093/jamia/ocab162}, interhash = {347a2a3d729ace79f08d91c4ad029238}, intrahash = {5b7f35d74facf2db001389ebd1b84235}, journal = {J. Am. Medical Informatics Assoc.}, keywords = {dblp}, number = 11, pages = {2336-2345}, timestamp = {2024-04-08T17:14:28.000+0200}, title = {GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.}, url = {http://dblp.uni-trier.de/db/journals/jamia/jamia28.html#YangXWCZ21}, volume = 28, year = 2021 }