杨玉璋，男，1978年生，安徽芜湖人，教授。 2010.9-2011.8：加拿大多伦多大学(University of Toronto)与皇家安大略博物馆(Royal Ontario Museum)访学。 2008年7月至今：中国科学技术大学科技史与科技考古系任教。 2006.6-2008.6：中国科学技术大学材料科学与工程系博士后。 2001.9-2006.5：中国科学技术大学科技史与科技考古系，理学博士。 1997.9-2001.7：安徽大学历史系，历史学学士。

陶瓷考古，农业考古。

MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification , Bioinformatics , 2024 , 40(1) CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network , IEEE-ACM Transactions on Computational Biology and Bioinformatics , 2023 , 20(3): 1935-1942 Efficient Algorithms for Feature Selection with Dynamic Data Using Nonlinear Mixed-effects Model , Statistical Methods in Medical Research , 2021 , 31(1): 233-243 High-throughput and efficient multilocus genome-wide association study on longitudinal outcomes , Bioinformatics , 2020 , 36(10): 3004-3010 Evaluating Prognostic Value of Dynamics of Circulating Lactate Dehydrogenase in Colorectal Cancer Using Modeling and Machine Learning , Clinical Pharmacology & Therapeutics , 2024 , 115(4): 805-814 Mutually exclusive spectral biclustering and its applications in cancer subtyping , Computational Biology and Chemistry , 2024 , 109(108009) Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance , JCO Clinical Cancer Informatics , 2024 , 8e2300154 Improving Prediction of Survival and Progression in Metastatic Non–Small Cell Lung Cancer After Immunotherapy Through Machine Learning of Circulating Tumor DNA , JCO Precision Oncology , 2024 , 8e2300718 GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response , Journal of Chemical Information and Modeling , 2023 , 63(23) Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data , Computational Biology and Chemistry , 2022 , 99(107697) A forward selection algorithm to identify mutually exclusive alterations in cancer studies , Journal of Human Genetics , 2021 , 66(5): 509-518 Quantitative trait loci identification by estimating the genetic model based on the extremal samples , Current Genomics , 2021 , 22(5): 363-372 Fast and efficient correction for population stratification in multi-locus genome-wide association studies , Genetica , 2021 , 149: 313-325 Risk stratification of population in NHANES 2009-2014 based on co-exposure to lead, cadmium, mercury, and arsenic and their association with important cardiovascular, renal and respiratory outcomes , Environment International , 2021 , 149106410 Beyond standard pipeline and p < 0.05 in pathway enrichment analyses , Computational Biology and Chemistry , 2021 , 92107455 SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling , Briefings in bioinformatics , 2020 , 22(3) Adaptive weighted sum tests via LASSO method in multi-locus family-based association analysis , Computational Biology and Chemistry , 2020 , 88 A novel quantification of information for longitudinal data analyzed by mixed-effects modeling , Pharmaceutical Statistic , 2020 , 19(4): 388-398