Machine learning-based methods and novel data models to predict adverse drug reaction. - Jinxian Wang; Yuanyuan Deng; Liang Shu; Lei Deng 002 (BIBM, 2020)

DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. - Hui Liu 026; Wenhao Zhang; Bo Zou; Jinxian Wang; Yuanyuan Deng; Lei Deng 002 (Nucleic Acids Res., 2020)

Research on Droplet Digital PCR Amplification System. - Jie Zhang; Jiaqi Yan; Jinxian Wang; Jie Xu; Yilong Zhao; Gangyin Luo (TrustCom, 2021)

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. - Jinxian Wang; Xuejun Liu; Siyuan Shen; Lei Deng 002; Hui Liu 026 (Briefings Bioinform., 2022)

Computational anti-COVID-19 drug design: progress and challenges. - Jinxian Wang; Ying Zhang; Wenjuan Nie; Yi Luo; Lei Deng 002 (Briefings Bioinform., 2022)

scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning. - Weikang Jiang; Jinxian Wang; Jihong Guan; Shuigeng Zhou (CoRR, 2023)

Molecular property prediction by contrastive learning with attention-guided positive sample selection. - Jinxian Wang; Jihong Guan; Shuigeng Zhou (Bioinform., 2023)

CIRCLE: scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning. - Jinxian Wang; Weikang Jiang; Jihong Guan; Shuigeng Zhou (BIBM, 2024)

Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection. - Bing Leng; Hao Jiang; Bidou Wang; Jinxian Wang; Gangyin Luo (Comput. Biol. Medicine, 2024)

A lightweight deep learning model for acute myeloid leukemia-related blast cell identification. - Bing Leng; Hao Jiang; Bidou Wang; Jinxian Wang; Gangyin Luo (J. Supercomput., 2024)

M3-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery. - Siyuan Guo; Lexuan Wang; Chang Jin; Jinxian Wang; Han Peng; Huayang Shi; Wengen Li; Jihong Guan; Shuigeng Zhou (J. Bioinform. Comput. Biol., 2025)