Deep learning-based prediction of the T cell receptor-antigen binding specificity. - Tianshi Lu; Ze Zhang; James Zhu; Yunguan Wang; Peixin Jiang; Xue Xiao; Chantale Bernatchez; John V. Heymach; Don L. Gibbons; Jun Wang; Lin Xu; Alexandre Reuben; et al. (Nat. Mach. Intell., 2021)

Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences. - Younghoon Kim; Tao Wang 161; Danyi Xiong; Xinlei Wang 001; Seongoh Park (BMC Bioinform., 2022)

Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse. - Ze Zhang; Woo Yong Chang; Kaiwen Wang; Yuqiu Yang; Xinlei Wang 001; Chen Yao; Tuoqi Wu; Li Wang; Tao Wang 161 (Nat. Mach. Intell., 2022)

Cytomulate: accurate and efficient simulation of cytof data. - Yuqiu Yang; Kaiwen Wang; Zeyu Lu; Tao Wang 161; Xinlei Wang 001 (Zenodo, 2023)

AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. - Feng Jiang; Yuzhi Guo; Hehuan Ma; Saiyang Na; Weizhi An; Bing Song; Yi Han; Jean Gao; Tao Wang 161; Junzhou Huang (BCB, 2024)

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. - Feng Jiang; Yuzhi Guo; Hehuan Ma; Saiyang Na; Wenliang Zhong; Yi Han; Tao Wang 161; Junzhou Huang (Briefings Bioinform., 2024)