- 學位論文
訓練圖卷積網路來嵌入藥物化性並預測雙藥物間的副作用
Training graph convolutional networks to embed drug chemical properties and predict drug-drug side effects
延伸閱讀
- Su, B. H. (2012). 新藥設計及化學結構組合最佳化與心毒性模擬 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.10202
- Mohamed, S. A. M. R. (2022). 結合準確而高效的化學相似物搜尋引擎以及接觸分佈擬合法來挑選能調控新冠病毒框架轉移效率的FDA老藥以阻殺病毒 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2912202215314148
- Chen, M. J. (2012). 藉由藥效基團模型、虛擬篩選、分子嵌合及分子動態模擬來搜尋新型的抗動脈粥狀硬化症化合物 [master's thesis, National Taipei University of Technology]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0006-0108201209275600
- 張仕諺（2022）。Boosting Graph Neural Network with Decision Tree-based Models for Heterogeneous Information Networks〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU202202860
- 賴至祥（2009）。Graph-Based Clustering Approaches for Gene Network Reconstruction〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2009.01576