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Journal of Clinical and Translational Pathology|June 1, 2026
Associations of Normalization and Regularization with Machine Learning Overfitting in Cross-dataset Classification of Deaths Using Transcriptomic and Clinical Data: A Secondary Analysis of Publicly Available DatabasesFei Deng, Lanjing ZhangLaboratory Investigation; a Journal of Technical Methods and Pathology|October 17, 2025
Toward the Best Generalizable Performance of Machine Learning in Modeling Omic and Clinical DataFei Deng, Yongfeng Zhang, Lanjing ZhangAmerican Journal of Cancer Research|January 8, 2021
Classify multicategory outcome in patients with lung adenocarcinoma using clinical, transcriptomic and clinico-transcriptomic data: machine learning versus multinomial modelsFei Deng, Lanlan Shen, He Wang, et al.Exploratory Research and Hypothesis in Medicine|January 26, 2026
Reporting Quality of Trend Analyses Published in Leading Medicine and Oncology Journals during 2008-2018Xiaoling Yuan, Fei Deng, Yating Wang, et al.Transactions on Artificial Intelligence|July 9, 2025
Normalization and Selecting Non-Differentially Expressed Genes Improve Machine Learning Modelling of Cross-Platform Transcriptomic DataFei Deng, Catherine H Feng, Nan Gao, et al.Arxiv|February 20, 2025
Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic dataFei Deng, Catherine H Feng, Nan Gao, et al.Laboratory Investigation; a Journal of Technical Methods and Pathology|February 12, 2021
Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical dataFei Deng, Jibing Huang, Xiaoling Yuan, et al.Laboratory Investigation; a Journal of Technical Methods and Pathology|December 29, 2023
Union With Recursive Feature Elimination: A Feature Selection Framework to Improve the Classification Performance of Multicategory Causes of Death in Colorectal CancerFei Deng, Lin Zhao, Ning Yu, et al.Exploratory Research and Hypothesis in Medicine|August 16, 2024
Advances in the Clinical Application of High-throughput ProteomicsMiao Cui, Fei Deng, Mary L Disis, et al.Pageof 91