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  • 杨亚宁
  • 教授
  • +86-551-63600561
  • ynyang@ustc.edu.cn
  • 统计与金融系
  • 概率与统计
English
  • Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions , Journal of the American Statistical Association , 2026 , 120(552) 2723C2736
  • Identifying key circulating tumor DNA parameters for predicting clinical outcomes in metastatic non-squamous non-small cell lung cancer after first-line chemoimmunotherapy , Nature Communications , 2024 , 156862
  • Robust Minimum Variance Portfolio with L-infinity Constraints , Journal of Banking & Finance , 2014 , 46107-117
  • Reliability Assessment of System under a Generalized Run Shock Model , Journal of Applied Probability , 2018 , 55(4)1249-1260
  • Sparse paired comparisons in the bradley-terry model , Statistica Sinica , 2012 , 22(3)1305-1318
  • Two-stage genome-wide association studies with DNA pooling and genetic model selection , Statistica Sinica , 2009 , 19(4)1769-1786
  • Testing linkage disequilibrium from pooled DNA: A contingency table perspective , Statistics in Medicine , 2008 , 27(28)5801-5815
  • Comparison of two-phase analyses for case-control genetic association studies , Statistics in Medicine , 2008 , 27(27)5054-5075
  • 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
  • A quick and accurate method for the estimation of covariate effects based on empirical Bayes estimates in mixed-effects modeling: Correction of bias due to shrinkage , Statistical Methods in Medical Research , 2019 , 283568-3578
  • CSHAP: Effcient haplotype frequency estimation based on sparse representation , Bioinformatics , 2019 , 352827-2833
  • A study of the efficiency of pooling in haplotype estimation , Bioinformatics , 2010 , 26(20)2556-2563
  • Testing multiple gene interactions by the ordered combinatorial partitioning method in case-control studies , Bioinformatics , 2010 , 26(15)1871-1878
  • Computationally feasible estimation of haplotype frequencies from pooled DNA with and without Hardy-Weinberg equilibrium , Bioinformatics , 2009 , 25(3)379-386
  • PoooL: an efficient method for estimating haplotype frequencies from large DNA pools , Bioinformatics , 2008 , 24(17)1942-1948
  • Robust bayes factors based on TDT-type tests for familytrio design , Statistical Applications in Genetics and Molecular Biology , 2015 , 14(3)253-264
  • A robust test for multiply ordered 2xJ ordinal contingency tables , Statistics and Its Interface , 2011 , 4(1)1-10
  • Alignment of protein mass spectrometry data by integrated Markov chain shifting method , Statistics and Its Interface , 2009 , 2329-340
  • Adaptive Transmission Disequilibrium Test for Family Trio Design , Statistical Applications in Genetics and Molecular Biology , 2009 , 8(1)1-20
  • Detecting essential and removable interactions in genome-wide association studies , Statistics and Its Interface , 2009 , 2(2)161-170
  • Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy , npj Precision Oncology , 2025 , 95
  • Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data , Computers in Biology and Medicine , 2025 , 189109964
  • 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
  • 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)
  • 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)
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