Risk stratification and pathway analysis based on graph neural network and interpretable algorithm. - Bilin Liang; Haifan Gong; Lu Lu; Jie Xu (BMC Bioinform., 2022)

MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine. - Jie Xu; Lu Lu; Sen Yang; Bilin Liang; Xinwei Peng; Jiali Pang; Jinru Ding; Xiaoming Shi; Lingrui Yang; Huan Song; Kang Li 004; Xin Sun; et al. (CoRR, 2023)

A denoised multi-omics integration framework for cancer subtype classification and survival prediction. - Jiali Pang; Bilin Liang; Ruifeng Ding; Qiujuan Yan; Ruiyao Chen; Jie Xu (Briefings Bioinform., 2023)

Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis. - Ruiyao Chen; Jiayuan Chen; Sen Yang; Shuqing Luo; Zhongzhou Xiao; Lu Lu; Bilin Liang; Sichen Liu 005; Huwei Shi; Jie Xu (Int. J. Medical Informatics, 2023)

Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction. - Haifan Gong; Yumeng Zhang; Chenhe Dong; Yue Wang 101; Guanqi Chen; Bilin Liang; Haofeng Li; Lanxuan Liu; Jie Xu; Guanbin Li (Bioinform., 2023)