Can Yang
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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
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
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
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
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
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
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
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
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
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, WY Timothy, ...
Genome biology 15 (3), 1-18, 2014
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), 1-15, 2009
Comments on 'An empirical comparison of several recent epistatic interaction detection methods'.
X Wan, C Yang, W Yu
Bioinformatics, 2011
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
Improving genetic risk prediction by leveraging pleiotropy
C Li, C Yang, J Gelernter, H Zhao
Human genetics 133 (5), 639-650, 2014
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 (11), 1195-1209, 2015
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso
C Yang, X Wan, Q Yang, H Xue, W Yu
BMC bioinformatics 11 (1), 1-11, 2010
On high-dimensional misspecified mixed model analysis in genome-wide association study
J Jiang, C Li, D Paul, C Yang, H Zhao
The Annals of Statistics 44 (5), 2127-2160, 2016
Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping
C Yang, L Wang, S Zhang, H Zhao
Bioinformatics 29 (8), 1026-1034, 2013
Implications of pleiotropy: challenges and opportunities for mining Big Data in biomedicine
C Yang, C Li, Q Wang, D Chung, H Zhao
Frontiers in genetics 6, 229, 2015
Folded-concave penalization approaches to tensor completion
W Cao, Y Wang, C Yang, X Chang, Z Han, Z Xu
Neurocomputing 152, 261-273, 2015
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