NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. - Xing Chen 001; Ya-Zhou Sun; De-Hong Zhang; Jian-Qiang Li 001; Guiying Yan; Ji-Yong An; Zhu-Hong You (Database J. Biol. Databases Curation, 2017)

Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information. - Ji-Yong An; Lei Zhang 029; Yong Zhou 003; Yu-Jun Zhao; Da-Fu Wang (J. Cheminformatics, 2017)

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model. - Lei Zhang 029; Bailong Liu; Zhengwei Li 001; Xiaoyan Zhu; Zhizhen Liang; Ji-Yong An (BMC Bioinform., 2020)

An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features. - Ji-Yong An; Fanrong Meng; Zi-Ji Yan (BioData Min., 2021)

Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA-disease association prediction. - Dan Huang; Ji-Yong An; Lei Zhang; Bailong Liu (BMC Bioinform., 2022)

Co-attention trajectory prediction by mining heterogeneous interactive relationships. - Lei Zhang 029; Jie Liu; Bailong Liu; Shaojie Zhu; Ji-Yong An (Multim. Tools Appl., 2023)