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Discover Oncology|October 18, 2024
Application of large-scale and multicohort plasma proteomics data to discover novel causal proteins in gastric cancerWeihao Tang, Xiaoke MaCancer Research Communications|February 24, 2025
Identification of Causal Plasma Proteins in Hepatocellular Carcinoma via Two-Sample Mendelian Randomization and Integrative Transcriptomic‒Proteomic AnalysisWeihao Tang, Xiaoke MaChemosphere|May 30, 2020
Discriminant models on mitochondrial toxicity improved by consensus modeling and resolving imbalance in trainingWeihao Tang, Jingwen Chen, Huixiao HongBMC Immunology|October 23, 2019
Immune cell infiltration characteristics and related core genes in lupus nephritis: results from bioinformatic analysisYiling Cao, Weihao Tang, Wanxin TangBioscience Reports|July 8, 2020
Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinomaWeihao Tang, Yiling Cao, Xiaoke MaChemosphere|November 10, 2021
Development of classification models for predicting inhibition of mitochondrial fusion and fission using machine learning methodsWeihao Tang, Jingwen Chen, Huixiao HongJournal of Cellular and Molecular Medicine|September 7, 2019
Identification of prognosis-related alternative splicing events in kidney renal clear cell carcinomaYongdi Zuo, Liang Zhang, Weihao Tang, et al.Journal of Hazardous Materials|December 17, 2021
Machine learning models on chemical inhibitors of mitochondrial electron transport chainWeihao Tang, Wenjia Liu, Zhongyu Wang, et al.Research Square|April 22, 2024
Shared Transcriptomic Signatures of Inflammaging Among Diverse Strains of Drosophila melanogasterSabrina Perna, Weihao Tang, Sydney Blimbaum, et al.Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|March 2, 2019
Deep learning for predicting toxicity of chemicals: a mini reviewWeihao Tang, Jingwen Chen, Zhongyu Wang, et al.Pageof 4