Publications

Deep learning model to discriminate diverse infection types based on pairwise analysis of host gene expression

Published in iScience, 2024

Combined iPAGE and Transformer for infection diagnosis.

Recommended citation: Jize Xie#, Xubin Zheng#, Jianlong Yan#, Qizhi Li, Nana Jin, Shuojia Wang, Pengfei Zhao, Shuai Li, Wanfu Ding, Lixin Cheng, Qingshan Geng. Deep learning model to discriminate diverse infection types based on pairwise analysis of host gene expression. iScience, 2024. https://doi.org/10.1016/j.isci.2024.109908

Diagnostic Prediction of portal vein thrombosis in chronic cirrhosis patients using data-driven precision medicine model

Published in Briefings in Bioinformatics, 2024

Recommended citation: Ying Li#, Jing Gao#, Xubin Zheng#, Guole Nie, Jican Qin, Haiping Wang, Tao He, Åsa Wheelock, Chuan-Xing Li, Lixin Cheng, Xun Li, Diagnostic Prediction of portal vein thrombosis in chronic cirrhosis patients using data-driven precision medicine model, Briefings in Bioinformatics, 2024. https://doi.org/10.1093/bib/bbad478

bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks

Published in Bioinformatics, 2023

Recommended citation: Qizhi Li#, Xubin Zheng#, Jize Xie#, Ran Wang, Mengyao Li, Man-Hon Wong, Kwong-Sak Leung, Shuai Li, Qingshan Geng*, and Lixin Cheng. bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks. Bioinformatics, 2023. https://doi.org/10.1093/bioinformatics/btad109

Whole transcriptome analysis reveals non-coding RNA’s competing endogenous gene pairs as novel form of motifs in serous ovarian cancer

Published in Computers in Biology and Medicine, 2022

In this paper, we proposed denoised individualized pairwise analysis of gene expression (deiPAGE).

Recommended citation: Haili Li#, Xubin Zheng#, Jing Gao, Kwong-Sak Leung, Man-Hon Wong, Shu Yang, Yakun Liu, Ming Dong, Huimin Bai, Xiufeng Ye, and Lixin Cheng. Whole transcriptome analysis reveals non-coding RNA’s competing endogenous gene pairs as novel form of motifs in serous ovarian cancer. Computers in Biology and Medicine, 2022. https://doi.org/10.1016/j.compbiomed.2022.105881