杨亚宁 照片

杨亚宁

教授

所属大学: 中国科学技术大学

所属学院: 大数据学院

邮箱:
ynyang@ustc.edu.cn

个人主页:
https://bs.ustc.edu.cn/Chinese/Profile-88.html

个人简介

所授课程 多元统计分析(A)(01716201), 本科, 3.5/80 多元统计分析A(01716202), 本科, 3.5/80 多元统计分析B(01716301), 本科, 3.5/80 回归分析(01714601), 本科, 3.5/80 回归分析与数据思维(ASTA6002P), 专业硕士, 3/60 参与的项目 概率论与数理统计 , 国家级精品共享资源课程 , 参与性质: 参与(排序7/7) , 纵向 , 2012-2012 概率论与数理统计相关课程教学团队 , 国家级教学团队 , 参与性质: 参与(排序2/8) , 纵向 , 2010-2010 概率论与数理统计 , 国家级精品课程 , 参与性质: 参与(排序3/7) , 纵向 , 2009-2009 稀有变异的基因关联分析方法研究及其应用 , 基金委面上项目 , 参与性质: 主持 , 纵向 , 2017-2020 基于单体型的基因统计关联分析 , 基金委面上项目 , 参与性质: 主持 , 纵向 , 2013-2016

研究领域

概率与统计

近期论文

Robust Minimum Variance Portfolio with L-infinity Constraints , Journal of Banking & Finance , 2014 , 46: 107-117 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 , 28: 3568-3578 CSHAP: Effcient haplotype frequency estimation based on sparse representation , Bioinformatics , 2019 , 35: 2827-2833 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 , 2: 329-340 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 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