| Moving object detection by detecting contiguous outliers in the low-rank representation X Zhou, C Yang, W Yu IEEE transactions on pattern analysis and machine intelligence 35 (3), 597-610, 2012 | 773 | 2012 |
| BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies X Wan, C Yang, Q Yang, H Xue, X Fan, NLS Tang, W Yu The American Journal of Human Genetics 87 (3), 325-340, 2010 | 614 | 2010 |
| GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation D Chung, C Yang, C Li, J Gelernter, H Zhao PLoS genetics 10 (11), e1004787, 2014 | 226 | 2014 |
| SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies C Yang, Z He, X Wan, Q Yang, H Xue, W Yu Bioinformatics 25 (4), 504-511, 2009 | 207 | 2009 |
| Predictive rule inference for epistatic interaction detection in genome-wide association studies X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu Bioinformatics 26 (1), 30-37, 2010 | 202 | 2010 |
| GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies LS Yung, C Yang, X Wan, W Yu Bioinformatics 27 (9), 1309-1310, 2011 | 195 | 2011 |
| Low-rank modeling and its applications in image analysis X Zhou, C Yang, H Zhao, W Yu ACM Computing Surveys (CSUR) 47 (2), 1-33, 2014 | 194 | 2014 |
| Genome-wide association study identifies new susceptibility loci for posttraumatic stress disorder P Xie, HR Kranzler, C Yang, H Zhao, LA Farrer, J Gelernter Biological psychiatry 74 (9), 656-663, 2013 | 192 | 2013 |
| Total variation regularized tensor RPCA for background subtraction from compressive measurements W Cao, Y Wang, J Sun, D Meng, C Yang, A Cichocki, Z Xu IEEE Transactions on Image Processing 25 (9), 4075-4090, 2016 | 186 | 2016 |
| Leveraging functional annotations in genetic risk prediction for human complex diseases Y Hu, Q Lu, R Powles, X Yao, C Yang, F Fang, X Xu, H Zhao PLoS computational biology 13 (6), e1005589, 2017 | 176 | 2017 |
| Bayesian weighted Mendelian randomization for causal inference based on summary statistics J Zhao, J Ming, X Hu, G Chen, J Liu, C Yang Bioinformatics 36 (5), 1501-1508, 2020 | 162 | 2020 |
| An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge CA Brownstein, AH Beggs, N Homer, B Merriman, TW Yu, KC Flannery, ... Genome biology 15, 1-18, 2014 | 127 | 2014 |
| Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies Z Yuan, H Zhu, P Zeng, S Yang, S Sun, C Yang, J Liu, X Zhou Nature communications 11 (1), 3861, 2020 | 120 | 2020 |
| Deep generative learning via schrödinger bridge G Wang, Y Jiao, Q Xu, Y Wang, C Yang International conference on machine learning, 10794-10804, 2021 | 102 | 2021 |
| A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits M Cai, J Xiao, S Zhang, X Wan, H Zhao, G Chen, C Yang The American Journal of Human Genetics 108 (4), 632-655, 2021 | 97 | 2021 |
| Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS Q Wang, C Yang, J Gelernter, H Zhao Human genetics 134, 1195-1209, 2015 | 96 | 2015 |
| MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu BMC bioinformatics 10, 1-15, 2009 | 94 | 2009 |
| Comments on 'An empirical comparison of several recent epistatic interaction detection methods'. X Wan, C Yang, W Yu Bioinformatics, 2011 | 88 | 2011 |
| Improving genetic risk prediction by leveraging pleiotropy C Li, C Yang, J Gelernter, H Zhao Human genetics 133, 639-650, 2014 | 87 | 2014 |
| On high-dimensional misspecified mixed model analysis in genome-wide association study J Jiang, C Li, D Paul, C Yang, H Zhao | 79 | 2016 |
Xiang WanShenzhen Research Institute of Big Data確認したメール アドレス: sribd.cn