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macyang
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YANG, Can
楊燦

(PhD HKUST)

Phone: (852) 2358 7462
Email: macyang@ust.hk
Office: Room 3482
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Associate Professor / Dr Tai-chin Lo Associate Professor of Science



Research Interests

Data Science with Statistical Machine Learning; Computer Age Statistical Inference; Empirical Bayes and Scalable algorithm; Statistical Genetics and Genomics

Teaching

  • MAFS5340  Machine Learning and Its Applications
  • MATH6911X  Reading Course: Deep Learning Methods and Applications

Awards & Honors

  • Professor Can YANG was awarded the 2023 Hong Kong Mathematical Society Young Scholar Award   (2023)
  • Professor Can YANG was awarded the Science School Research Award 2022/23   (2023)

Selected Publications

  Article

  1. BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
    • Author(s): Zhou, Min; Dai, Mingwei; Yao, Yuan; Liu, Jin; Yang, Can; Peng, Heng
    • Source: Statistica Sinica, v. 33, (4), October 2023, article number SS-2020-0498
    • Year: 2023

  2. stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics
    • Author(s): Li, Chen; Chan, Ting-Fung; Yang, Can; Lin, Zhixiang
    • Source: Bioinformatics (Oxford, England), v. 39, (10), October 2023, article number btad642
    • Year: 2023

  3. XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias
    • Author(s): Cai, Mingxuan; Wang, Zhiwei; Xiao, Jiashun; Hu, Xianghong; Chen, Gang; Yang, Can
    • Source: Nature Communications, v. 14, (1), 2023, article number 6870
    • Year: 2023

  4. PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations
    • Author(s): Yu, Xinyi; Xiao, Jiashun; Cai, Mingxuan; Jiao, Yuling; Wan, Xiang; Liu, Jin; Yang, Can
    • Source: Bioinformatics, v. 39, (2), February 2023, article number btad068
    • Year: 2023

  5. Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks
    • Author(s): Wang, Gefei; Zhao, Jia; Yan, Yan; Wang, Yang; Wu, Angela Ruohao; Yang, Can
    • Source: Nature Machine Intelligence, v. 5, (11), November 2023, p. 1200-1213
    • Year: 2023

  6. Leveraging the local genetic structure for trans-ancestry association mapping
    • Author(s): Xiao, Jiashun; Cai, Mingxuan; Yu, Xinyi; Hu, Xianghong; Chen, Gang; Wan, Xiang; Yang, Can
    • Source: American Journal of Human Genetics, v. 109, (7), July 2022, p. 1317-1337
    • Year: 2022

  7. Mendelian Randomization for Causal Inference Accounting for Pleiotropy and Sample Structure Using Genome-Wide Summary Statistics
    • Author(s): Hu, Xianghong; Zhao, Jia; Lin, Zhixiang; Wang, Yang; Peng, Heng; Zhao, Hongyu; Wan, Xiang; Yang, Can
    • Source: Proceedings of the National Academy of Sciences of the United States of America, v. 119, (28), July 2022, article number e2106858119
    • Year: 2022

  8. FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets
    • Author(s): The Tabula Microcebus Consortium; Ming, Jingsi; Lin, Zhixiang; Zhao, Jia; Wan, Xiang; Yang, Can; Wu, Angela Ruohao
    • Source: Briefings in Bioinformatics, v. 23, (5), September 2022, article number bbac167
    • Year: 2022

  9. XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis.
    • Author(s): Xiao, Jiashun; Cai, Mingxuan; Hu, Xianghong; Wan, Xiang; Chen, Gang; Yang, Can
    • Source: Bioinformatics, v. 38, (7), April 2022, p. 1947-1955
    • Year: 2022

  10. scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis
    • Author(s): Ming, Jingsi; Zhao, Jia; Yang, Can
    • Source: Statistics in Biosciences, 31 January 2022
    • Year: 2022

  11. A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
    • Author(s): Cai, Mingxuan; Xiao, Jiashun; Zhang, Shunkang; Wan, Xiang; Zhao, Hongyu; Chen, Gang; Yang, Can
    • Source: American Journal of Human Genetics, v. 108, (4), April 2021, p. 632-655
    • Year: 2021

  12. REMI: regression with marginal information and its application in genome-wide association studies
    • Author(s): Huang, Jian; Jiao, Yuling; Liu, Jin; Yang, Can
    • Source: Statistica Sinica, v. 31, (4), October 2021, p. 1985-2004
    • Year: 2021

  13. A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery
    • Author(s): Huang, Jian; Jiao, Yuling; Jin, Bangti; Liu, Jin; Lu, Xiliang; Yang, Can
    • Source: Statistical Science, v. 36, (2), May 2021, p. 215-238
    • Year: 2021

  14. Accurate genetic and environmental covariance estimation with composite likelihood in genome-wide association studies
    • Author(s): Gao, Boran; Yang, Can; Liu, Jin; Zhou, Xiang
    • Source: PLoS Genetics, v. 17, (1), January 2021, article number e1009293
    • Year: 2021

  15. Direct-To-Consumer Genetic Testing in China and Its Role in GWAS Discovery and Replication
    • Author(s): Kang, Kang; Sun, Xue; Wang, Lizhong; Yao, Xiaotian; Tang, Senwei; Deng, Junjie; Wu, Xiaoli; Yang, Can; Chen, Gang; WeGene Research Team
    • Source: Quantitative Biology, 18 July 2020
    • Year: 2020

  16. Bayesian Weighted Mendelian Randomization for Causal Inference Based on Summary Statistics
    • Author(s): Zhao, Jia; Ming, Jingsi; Hu, Xianghong; Chen, Gang; Liu, Jin; Yang, Can
    • Source: Bioinformatics, v. 36, (5), March 2020, p. 1501-1508
    • Year: 2020

  17. CoMM-S<sup>2</sup>: A Collaborative Mixed Model Using Summary Statistics in Transcriptome-Wide Association Studies
    • Author(s): Yang, Yi; Shi, Xingjie; Jiao, Yuling; Huang, Jian; Chen, Min; Zhou, Xiang; Sun, Lei; Lin, Xinyi; Yang, Can; Liu, Jin
    • Source: Bioinformatics, v. 36, (7), April 2020, p. 2009-2016
    • Year: 2020

  18. A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies
    • Author(s): Shi, Xingjie; Chai, Xiaoran; Yang, Yi; Cheng, Qing; Jiao, Yuling; Huang, Jian; Yang, Can; Liu, Jin
    • Source: Nucleic Acids Research, v. 48, (19), November 2020
    • Year: 2020

  19. MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy
    • Author(s): Cheng, Qing; Yang, Yi; Shi, Xingjie; Yeung, Kar-Fu; Yang, Can; Peng, Heng; Liu, Jin
    • Source: NAR Genomics and Bioinformatics, v. 2, (2), June 2020, article number lqaa028
    • Year: 2020

  20. IGREX for quantifying the impact of genetically regulated expression on phenotypes
    • Author(s): Cai, Mingxuan; Chen, Lin S.; Liu, Jin; Yang, Can
    • Source: NAR Genomics and Bioinformatics, v. 2, (1), March 2020, article number lqaa010
    • Year: 2020

  21. Exploring the Relationship Between Psychiatric Traits and the Risk of Mouth Ulcers Using Bi-Directional Mendelian Randomization
    • Author(s): Wang, Kai; Ding, Lin; Yang, Can; Hao, Xingjie; Wang, Chaolong
    • Source: Frontiers in Genetics, v. 11, 16 December 2020, article number 608630
    • Year: 2020

  22. BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications
    • Author(s): Cai, Mingxuan; Dai, Mingwei; Ming, Jingsi; Peng, Heng; Liu, Jin; Yang, Can
    • Source: Journal of Computational and Graphical Statistics, v. 29, (1), January 2020, p. 40-52
    • Year: 2020

  23. Testing and Controlling for Horizontal Pleiotropy With Probabilistic Mendelian Randomization in Transcriptome-Wide Association Studies
    • Author(s): Yuan, Zhongshang; Zhu, Huanhuan; Zeng, Ping; Yang, Sheng; Sun, Shiquan; Yang, Can; Liu, Jin; Zhou, Xiang
    • Source: Nature Communications, v. 11, (1), 1 December 2020, article number 3861
    • Year: 2020

  24. Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy
    • Author(s): Dai, Mingwei; Wan, Xiang; Peng, Hao; Wang, Yao; Liu, Yue; Liu, Jin; Xu, Zongben; Yang, Can
    • Source: Bioinformatics, v. 35, (10), May 2019, p. 1729-1736
    • Year: 2019

  25. Detection of Cell-type-specific Risk-CpG Sites in Epigenome-wide Association Studies
    • Author(s): Luo, Xiangyu; Yang, Can; Wei, Yingying
    • Source: Nature Communications, v. 10, (1), July 2019, article number 3113
    • Year: 2019

  26. Prediction analysis for microbiome sequencing data
    • Author(s): Wang, Tao; Yang, Can; Zhao, Hongyu
    • Source: Biometric Methodology, v. 75, (3), April 2019, p. 875-884
    • Year: 2019

  27. VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
    • Author(s): Shi, Xingjie; Jiao, Yuling; Yang, Yi; Cheng, Chingyu; Yang, Can; Lin, Xinyi; Liu, Jin
    • Source: Bioinformatics, v. 35, (19), October 2019, p. 3693-3700
    • Year: 2019

  28. CoMM: A Collaborative Mixed Model to Dissecting Genetic Contributions to Complex Traits by Leveraging Regulatory Information
    • Author(s): Yang, Can; Wan, Xiang; Lin, Xinyi; Chen, Mengjie; Zhou, Xiang; Liu, Jin
    • Source: Bioinformatics (Oxford, England), v. 35, (10), May 2019, p. 1644-1652
    • Year: 2019

  29. LPM: A Latent Probit Model to Characterize the Relationship Among Complex Traits Using Summary Statistics From Multiple GWASs and Functional Annotations
    • Author(s): Ming, Jingsi; Wang, Tao; Yang, Can
    • Source: Bioinformatics, v. 36, (8), April 2020, p. 2506-2514
    • Year: 2019

  30. LSMM: A Statistical Approach to Integrating Functional Annotations With Genome-wide Association Studies
    • Author(s): Ming, Jingsi; Dai, Mingwei; Cai, Mingxuan; Wan, Xiang; Liu, Jin; Yang, Can
    • Source: Bioinformatics, v. 34, (16), August 2018, p. 2788-2796
    • Year: 2018

  31. LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies
    • Author(s): Yang, Yi; Dai, Mingwei; Huang, Jian; Lin, Xinyi; Yang, Can; Chen, Min; Liu, Jin
    • Source: BMC Genomics, v. 19, (1), June 2018, article number 503, p. 1471-2164
    • Year: 2018

  32. On Joint estimation of Gaussian graphical models for spatial and temporal data
    • Author(s): Lin, Zhixiang; Wang, Tao; Yang, Can; Zhao, Hongyu
    • Source: Biometrics, v. 73, (3), September 2017, p. 769-779
    • Year: 2017

  33. Leveraging Functional Annotations in Genetic Risk Prediction for Human Complex Diseases
    • Author(s): Hu, Yiming; Lu, Qiongshi; Powles, Ryan; Yao, Xinwei; Yang, Can; Fang, Fang; Xu, Xinran; Zhao, Hongyu
    • Source: PLoS Computational Biology, v. 13, (6), June 2017, article number e1005589, p. 1-16
    • Year: 2017

  34. LLR: A Latent Low-rank Approach to Colocalizing Genetic Risk Variants in Multiple GWAS
    • Author(s): Liu, Jin; Wan, Xiang; Wang, Chaolong; Yang, Chao; Zhou, Xiaowei; Yang, Can
    • Source: Bioinformatics, v. 33, (24), December 2017, p. 3878-3886
    • Year: 2017

  35. IGESS: A Statistical Approach to Integrating Individual-Level Genotype Data and Summary Statistics in Genome-Wide Association Studies
    • Author(s): Dai, Mingwei; Ming, Jingsi; Cai, Mingxuan; Liu, Jin; Yang, Can; Wan, Xiang; Xu, Zongben
    • Source: Bioinformatics, v. 33, (18), September 2017, p. 2882-2889
    • Year: 2017

  36. Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements
    • Author(s): Cao, Wenfei; Wang, Yao; Sun, Jian; Meng, Deyu; Yang, Can; Cichoki, Andrzej; Xu, Zongben
    • Source: IEEE Transactions on Image Processing, v. 25, (9), September 2016, article number 7488247, p. 4075-4090
    • Year: 2016

  37. Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition
    • Author(s): Li, Cong; Yang, Can; Hather, Greg; Liu, Ray; Zhao, Hongyu
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 13, (3), May-June 2016, article number 7172456, p. 531-540
    • Year: 2016

  38. Simultaneous dimension reduction and adjustment for confounding variation
    • Author(s): Lin, Zhixiang; Yang, Can; Zhu, Ying; Duchi, John; Fu, Yao; Wang, Yong; Jiang, Bai; Zamanighomi, Mahdi; Xu, Xuming; Li, Mingfeng; Sestan, Nenad; Zhao, Hongyu; Wong, Wing Hung
    • Source: Proceedings of the National Academy of Sciences of the United States of America, v. 113, (51), 20 December 2016, p. 14662-14667
    • Year: 2016

  39. Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-wide Approach
    • Author(s): Teng, Ben; Yang, Can; Liu, Jiming; Cai, Zhipeng; Wan, Xiang
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), v. 13, (3), May-June 2016, article number 7164310, p. 557-564
    • Year: 2016

  40. Computing Exact Permutation p-Values for Association Rules
    • Author(s): Wu, Jun; He, Zengyou; Gu, Feiyang; Liu, Xiaoqing; Zhou, Jianyu; Yang, Can
    • Source: Information Science, v. 346-347, June 2016, p. 146-162
    • Year: 2016

  41. Analyzing Association Mapping in Pedigree-based GWAS Using A Penalized Multi-trait Mixed Model
    • Author(s): Liu, Jin; Yang, Can; Shi, Xingjie; Li, Cong; Huang, Jian; Zhao, Hongyu; Ma, Shuangge
    • Source: Genetic Epidemiology, v. 40, (5), July 2016, p. 382-393
    • Year: 2016

  42. On high dimensional misspecified mixed model analysis in genome-wide association study
    • Author(s): Jiang, Jiming; Li, Cong; Paul, Debashis; Yang, Can; Zhao, Hongyu
    • Source: Annals of Statistics, v. 44, (5), October 2016, p. 2127-2160
    • Year: 2016

  43. Mathematical Design of a Novel Gesture-based Instruction/input Device Using Wave Detection
    • Author(s): Liu, Hongyu; Wang, Yuliang; Yang, Can
    • Source: SIAM Journal on Imaging Sciences, v. 9, (2), June 2016, p. 822-841
    • Year: 2016

  44. EPS: An Empirical Bayes Approach to Integrating Pleiotropy and Tissue-specific Information for Prioritizing Risk Genes
    • Author(s): Liu, Jin; Wan, Xiang; Ma, Shuangge; Yang, Can
    • Source: Bioinformatics, v. 32, (12), June 2016, p. 1856-1864
    • Year: 2016

  45. Folded-concave Penalization Approaches to Tensor Completion
    • Author(s): Cao, Wenfei; Wang, Yao; Yang, Can; Chang, Xiangyu; Han, Zhi; Xu, Zongben
    • Source: Neurocomputing, v. 152, March 2015, p. 261-273
    • Year: 2015

  46. A Penalized Regression Approach for Integrative Analysis in Genome- Wide Association Studies
    • Author(s): Liu, J.; Wang, F.; Gao, X.; Zhang, H.; Wan, X.; Yang, Can
    • Source: Journal of Biometrics & Biostatistics, v. 6, (2), May 2015, article number 228
    • Year: 2015

  47. Dissecting Ancestry Genomic Background in Substance Dependence Genome-wide Association Studies
    • Author(s): Polimanti, Renato; Yang, Can; Zhao, Hongyu; Gelernter, Joel
    • Source: Pharmacogenomics, v. 16, (13), August 2015, p. 1487-1498
    • Year: 2015

  48. Low-Rank Modeling and Its Applications in Image Analysis
    • Author(s): Zhou, Xiaowei; Yang, Can; Zhao, Hongyu; Yu, Weichuan
    • Source: ACM Computing Surveys, v. 47, (2), January 2015, article number 36
    • Year: 2015

  49. Pervasive Pleiotropy Between Psychiatric Disorders and Immune Disorders Revealed by Integrative Analysis of Multiple GWAS
    • Author(s): Wang, Qian; Yang, Can; Gelernter, Joel; Zhao, Hongyu
    • Source: Human Genetics, v. 134, (11-12), November 2015, p. 1195-1209
    • Year: 2015

  50. Exploring the Genetic Architecture of Alcohol Dependence in African-Americans via Analysis of a Genomewide Set of Common Variants
    • Author(s): Yang, Can; Li, Cong; Kranzler, Henry R.; Farrer, Lindsay A.; Zhao, Hongyu; Gelernter, Joel
    • Source: Human Genetics, v. 133, (5), May 2014, p. 617-624
    • Year: 2014

  51. Improving Genetic Risk Prediction by Leveraging Pleiotropy
    • Author(s): Li, Cong; Yang, Can; Gelernter, Joel; Zhao, Hongyu
    • Source: Human Genetics, v. 133, (5), May 2014, p. 639-650
    • Year: 2014

  52. GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
    • Author(s): Chung, Dongjun; Yang, Can; Li, Cong; Gelernter, Joel; Zhao, Hongyu
    • Source: PLoS Genetics, v. 10, (11), November 2014, article number e1004787, p. 1-14
    • Year: 2014

  53. Identification of Methylation Quantitative Trait Loci (mQTLs) Influencing Promoter DNA Methylation of Alcohol Dependence Risk Genes
    • Author(s): Zhang, Huiping; Wang, Fan; Kranzler, Henry R.; Yang, Can; Xu, Hongqin; Wang, Zuoheng; Zhao, Hongyu; Gelernter, Joel
    • Source: Human Genetics, v. 133, (9), September 2014, p. 1093-1104
    • Year: 2014

  54. An International Effort Towards Developing Standards for Best Practices in Analysis, Interpretation and Reporting of Clinical Genome Sequencing Results in the CLARITY Challenge
    • Author(s): Brownstein, Catherine A.; Yang, Can
    • Source: Genome Biology, v. 15, (3), March 2014, article number R53
    • Year: 2014

  55. Archival Report: Genome-wide Association Study Identifies New Susceptibility Loci for Posttraumatic Stress Disorder
    • Author(s): Xie, Pingxing; Kranzler, Henry R.; Yang, Can; Zhao, Hongyu; Farrer, Lindsay A.; Gelernter, Joel
    • Source: Biological Psychiatry, v. 74, (9), November 2013, p. 656-663
    • Year: 2013

  56. ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics
    • Author(s): Huang, Ting; Gong, Haipeng; Yang, Can; He, Zengyou
    • Source: Computational Biology and Chemistry, v. 43, April 2013, p. 46-54
    • Year: 2013

  57. Accounting for Non-genetic Factors by Low-rank Representation and Sparse Regression for eQTL Mapping
    • Author(s): Yang, Can; Wang, Lin; Zhang, Shuqin; Zhao, Hongyu
    • Source: Bioinformatics, v. 29, (8), April 2013, p. 1026-1034
    • Year: 2013

  58. Empirical Bayes Correction for the Winner's Curse in Genetic Association Studies
    • Author(s): Ferguson, John P.; Cho, Judy H.; Yang, Can; Zhao, Hongyu
    • Source: Genetic Epidemiology, v. 37, (1), January 2013, p. 60-68
    • Year: 2013

  59. Multisample aCGH Data Analysis via Total Variation and Spectral Regularization
    • Author(s): Zhou, Xiaowei; Yang, Can; Wan, Xiang; Zhao, Hongyu; Yu, Weichuan
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 10, (1), January-February 2013, article number 6517420, p. 230-235
    • Year: 2013

  60. The Complete Compositional Epistasis Detection in Genome-wide Association Studies
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Zhao, Hongyu; Yu, Weichuan
    • Source: BMC Genetics, v. 14, February 2013, article number 7
    • Year: 2013

  61. Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
    • Author(s): Zhou, Xiaowei; Yang, Can; Yu, Weichuan
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 35, (3), March 2013, article number 6216381, p. 597-610
    • Year: 2013

  62. HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Zhao, Hongyu; Yu, Weichuan
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 10, (1), 2013, article number 6419694, p. 207-212
    • Year: 2013

  63. Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information
    • Author(s): Yang, Chao; He, Zengyou; Yang, Can; Yu, Weichuan
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 9, (4), July-August 2012, article number 6202798, p. 1212-1219
    • Year: 2012

  64. 近邻自适应局部尺度的谱聚类算法
    • Author(s): 孔万增; 孙昌思核; 张建海; 胡三清; 楊燦
    • Source: 中国图象图形学报=Journal of Image and Graphics, v. 17, (4), 2012, p. 523-529
    • Year: 2012

  65. GBOOST: a GPU-based Tool for Detecting Gene-gene Interactions in Genome-wide Case Control Studies
    • Author(s): Yung, Ling Sing; Yang, Can; Wan, Xiang; Yu, Weichuan
    • Source: Bioinformatics, v. 27, (9), May 2011, article number btr114, p. 1309-1310
    • Year: 2011

  66. A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data
    • Author(s): He, Zengyou; Yang, Can; Yu, Weichuan
    • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 8, (2), March-April 2011, article number 5066962, p. 368-380
    • Year: 2011

  67. Motif-All: Discovering All Phosphorylation Motifs
    • Author(s): He, Zengyou; Yang, Can; Guo, Guangyu; Li, Ning; Yu, Weichuan
    • Source: BMC Bioinformatics, v. 12, (supplement 1), February 2011, article number S22
    • Year: 2011

  68. Identifying Disease-associated SNP Clusters via Contiguous Outlier Detection
    • Author(s): Yang, Can; Zhou, Xiaowei; Wan, Xiang; Yang, Qiang; Xue, Hong; Yu, Weichuan
    • Source: Bioinformatics, v. 27, (18), September 2011, article number btr424, p. 2578-2585
    • Year: 2011

  69. A Hidden Two-locus Disease Association Pattern in Genome-wide Association Studies
    • Author(s): Yang, Can; Wan, Xiang; Yang, Qiang; Xue, Hong; Tang, Nelson L.S.; Yu, Weichuan
    • Source: BMC bioinformatics, v. 12, (156), May 2011, article number 156, p. 1-14
    • Year: 2011

  70. BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Xue, Hong; Fan, Xiaodan; Tang, Nelson L.S.; Yu, Weichuan
    • Source: American Journal of Human Genetics, v. 87, (3), September 2010, p. 325-340
    • Year: 2010

  71. Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification
    • Author(s): He, Zengyou; Yang, Chao; Yang, Can; Qi, Robert Zhong; Tam, P.M.; Yu, Weichuan
    • Source: Journal of Computational Biology, v. 17, (3), March 2010, p. 221-235
    • Year: 2010

  72. A Regularized Method for Peptide Quantification
    • Author(s): Yang, Chao; Yang, Can; Yu, Weichuan
    • Source: Journal of Proteome Research, v. 9, (5), May 2010, p. 2705-2712
    • Year: 2010

  73. Detecting Two-locus Associations Allowing for Interactions in Genome-wide Association Studies
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Xue, Hong; Tang, Nelson L.S.; Yu, Weichuan
    • Source: Bioinformatics, v. 26, (20), August 2010, article number btq486, p. 2517-2525
    • Year: 2010

  74. Predictive Rule Inference for Epistatic Interaction Detection in Genome-wide Association Studies
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Xue, Hong; Tang, Nelson L.S.; Yu, Weichuan
    • Source: Bioinformatics, v. 26, (1), January 2010, article number btp622, p. 30-37
    • Year: 2010

  75. MegaSNPhunter: a Learning Approach to Detect Disease Predisposition SNPs and High Level Interactions in Genome Wide Association Study
    • Author(s): Wan, Xiang; Yang, Can; Yang, Qiang; Xue, Hong; Tang, Nelson L.S.; Yu, Weichuan
    • Source: BMC Bioinformatics, v. 10, January 2009, article number 13
    • Year: 2009

  76. SNPharvester: a Filtering-based Approach for Detecting Epistatic Interactions in Genome-wide Association Studies
    • Author(s): Yang, Can; He, Zengyou; Wan, Xiang; Yang, Qiang; Xue, Hong; Yu, Weichuan
    • Source: Bioinformatics, v. 25, (4), February 2009, p. 504-511
    • Year: 2009

  77. Peak bagging for peptide mass fingerprinting
    • Author(s): He, Zengyou; Yang, Can; Yu, Weichuan
    • Source: Bioinformatics, v. 24, (10), May 2008, p. 1293-1299
    • Year: 2008

  78. Application of Generalized Predictive Control in Networked Control System
    • Author(s): Yang, Can; Zhu, Shan-an; Kong, Wan-zeng; Lu, Li-ming
    • Source: Journal of Zhejiang University: Science, v. 7, (2), February 2006, p. 225-233
    • Year: 2006

  Book chapter

  1. Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies
    • Author(s): Shi, Xingjie; Yang, Can; Liu, Jin
    • Source: Epistasis: Methods and Protocols / Edited by Ka-Chun Wong. New York : Humana Press Inc, 2021, p. 93-103, Book series: Methods in Molecular Biology, v.2212
    • Year: 2021

  2. Introduction to statistical methods in genome-wide association studies
    • Author(s): Yang, Can; Li, Cong; Chung, Dongjun; Chen, Mengjie; Gelernter, Joel; Zhao, Hongyu
    • Source: Genome-Wide Association Studies: From Polymorphism to Personalized Medicine / Edited by Krishnarao Appasani. Cambridge : Cambridge University Press, 2016, p. 26-52, Ch. 3
    • Year: 2016

  3. Introduction to Statistical Methods for Integrative Data Analysis in Genome-Wide Association Studies
    • Author(s): Yang, Can; Wan, Xiang; Liu, Jin; Ng, Michael
    • Source: Big Data Analytics in Genomics / Edited by Ka-Chun Wong. Cham : Springer, 2016, p. 3-23
    • Year: 2016

  4. eQTL Mapping
    • Author(s): Chen, Mengjie; Yang, Can; Li, Cong; Zhao, Hongyu
    • Source: Genome-Wide Association Studies: From Polymorphism to Personalized Medicine / Edited by Krishnarao Appasani. Cambridge : Cambridge University Press, 2016, p. 208-228, Ch. 14
    • Year: 2016

  5. Drug-Pathway Association Analysis: Integration of High-Dimensional Transcriptional and Drug Sensitivity Profile
    • Author(s): Li, Cong; Yang, Can; Hather, Greg; Liu, Ray; Zhao, Hongyu
    • Source: Integrating Omics Data / Edited by George Tseng, Debashis Ghosh, Xianghong Jasmine Zhou. New York, N.Y. : Cambridge University Press, 2015, p. 425-444
    • Year: 2015

  6. Model Free Data Mining
    • Author(s): Yang, Can; Meng, Jun; Zhu, Shanan; Dai, Mingwei
    • Source: Data Mining and Knowledge Discovery Technologies / Edited by: David Taniar. Hershey, PA, USA : IGI Publishing, 2008, p. 224-252
    • Year: 2008

  Conference paper

  1. Deep Generative Learning via Schrödinger Bridge
    • Author(s): Wang, Gefei; Jiao, Yuling; Xu, Qian; Wang, Yang; Yang, Can
    • Source: Proceedings of the 38th International Conference on Machine Learning, v. 139, July 2021, p. 10794-10804
    • Year: 2021

  2. Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
    • Author(s): He, Jiafa; Pan, Chengwei; Yang, Can; Zhang, Ming; Wang, Yang; Zhou, Xiaowei; Yu, Yizhou
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12266 LNCS, 2020, p. 24-34
    • Year: 2020

  3. Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features
    • Author(s): Long, Yanfang; Kong, Wanzeng; Ling, Wenfen; Yang, Can; Zhu, Jieyong
    • Source: Communications in Computer and Information Science, v. 1006, 2019, p. 162-172
    • Year: 2019

  4. Deep Generative Learning via Variational Gradient Flow
    • Author(s): Gao, Yuan; Jiao, Yuling; Wang, Yang; Wang, Yao; Yang, Can; Zhang, Shunkang
    • Source: 36th International Conference on Machine Learning, ICML 2019, (Part 6), 2019, p. 3661-3669
    • Year: 2019

  5. Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence
    • Author(s): Ling, Wenfen; Kong, Wanzeng; Long, Yanfang; Yang, Can; Jin, Xuanyu
    • Source: 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) / IEEE . IEEE, 2019, p. 1-5, Article number 9071606
    • Year: 2019

  6. Deep Generative Learning via Variational Gradient Flow
    • Author(s): Gao, Yuan; Jiao, Yuling; Wang, Yang; Yang, Can; Zhang, Shunkang
    • Source: Proceedings of Machine Learning Research, v. 97, 2019, p. 2093-2101
    • Year: 2019

  7. Visualizing Emotional States: A Method Based on Human Brain Activity
    • Author(s): Long, Yanfang; Kong, Wanzeng; Jin, Xuanyu; Shang, Jili; Yang, Can
    • Source: Communications in Computer and Information Science, v. 1072, 2019, p. 248-258
    • Year: 2019

  8. Admixture mapping analysis in the context of GWAS with GAW18 data
    • Author(s): Chen, Mengjie; Yang, Can; Li, Cong; Hou, Lin; Chen, Xiaowei; Zhao, Hongyu
    • Source: BMC Proceedings, v. 8, (Supplement 1), June 2014
    • Year: 2014

  9. A penalized linear mixed model for genomic prediction using pedigree structures
    • Author(s): Yang, Can; Li, Cong; Chen, Mengjie; Chen, Xiaowei; Hou, Lin; Zhao, Hongyu
    • Source: BMC Proceedings, v. 8, (Supplement 1), June 2014, article number S67
    • Year: 2014

  10. Adjustment of familial relatedness in association test for rare variants
    • Author(s): Li, Cong; Yang, Can; Chen, Mengjie; Chen, Xiaowei; Hou, Lin; Zhao, Hongyu
    • Source: BMC Proceedings, v. 8, (Supplement 1), June 2014, article number S39
    • Year: 2014

  11. Automatic Mitral Leaflet Tracking in Echocardiography by Outlier Detection in the Low-rank Representation
    • Author(s): Zhou, Xiaowei; Yang, Can; Yu, Weichuan
    • Source: IEEE Conference on Computer Vision and Pattern Recognition, August 2012, article number 6247773, p. 972-979
    • Year: 2012

  12. The Choice of Null Distributions for Detecting Gene-Gene Interactions in Genome-Wide Association Studies
    • Author(s): Yang, Can; Wan, Xiang; He, Zengyou; Yang, Qiang; Xue, Hong; Yu, Weichuan
    • Source: BMC Bioinformatics, v. 12, (Supplement 1), February 2011, article number S26
    • Year: 2011

  13. Identifying Main Effects and Epistatic Interactions from Large-scale SNP Data via Adaptive Group Lasso
    • Author(s): Yang, Can; Wan, Xiang; Yang, Qiang; Xue, Hong; Yu, Weichuan
    • Source: BMC Bioinformatics, v. 11, (Supplement 1), January 2010, article number S18
    • Year: 2010

  14. GPC Algorithm and Queuing-selecting for Networked Level Control
    • Author(s): Kong, Wanzeng; Zhu, Shan-an; Yang, Can
    • Source: IEEE International Conference on Control and Automation ICCA, 2008, p. 2626-2629
    • Year: 2008

  15. Optimal Fuzzy Modeling Based on Minimum Cluster Volume
    • Author(s): Yang, Can; Meng, Jun
    • Source: ADMA 2005: Advanced Data Mining and Applications, Editors: Xue Li, Shuliang Wang, Zhao Yang Dong. Heidelberg : Springer Verlag, 2005, p. 232-239
    • Year: 2005

  16. Transparent Fuzzy Modeling Based on Minimum Cluster Volume
    • Author(s): Yang, Can; Zhu, Shan-an; Meng, Jun; Lu, Li-ming
    • Source: 2005 International Conference on Control and Automation (ICCA), Danvers, MA : IEEE, 2005, p. 1120-1125
    • Year: 2005