Can Yang
Orcid: 0000-0002-4407-3055Affiliations:
- Hong Kong University of Science and Technology, Department of Mathematics
- Hong Kong Baptist University, Department of Mathematics
- Yale University, Division of Biostatistics, New Haven, CT, USA (former)
According to our database1,
Can Yang
authored at least 62 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
ACM Trans. Graph., December, 2023
Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks.
Nat. Mac. Intell., October, 2023
stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics.
Bioinform., October, 2023
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.
Bioinform., February, 2023
CoRR, 2023
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information.
CoRR, 2023
2022
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.
Nat. Comput. Sci., 2022
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis.
Bioinform., 2022
FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets.
Briefings Bioinform., 2022
2021
Direct-to-consumer genetic testing in China and its role in GWAS discovery and replication.
Quant. Biol., 2021
2020
Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
Bioinform., 2020
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.
Bioinform., 2020
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations.
Bioinform., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information.
Bioinform., 2019
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.
Bioinform., 2019
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform., 2019
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
2018
LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
Bioinform., 2018
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2017
Leveraging functional annotations in genetic risk prediction for human complex diseases.
PLoS Comput. Biol., 2017
LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
Bioinform., 2017
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinform., 2017
2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016
Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection.
SIAM J. Imaging Sci., 2016
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes.
Bioinform., 2016
2015
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015
2014
2013
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics.
Comput. Biol. Chem., 2013
Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping.
Bioinform., 2013
2012
Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Comments on 'An empirical comparison of several recent epistatic interaction detection methods'.
Bioinform., 2012
Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
BMC Bioinform., 2011
The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.
BMC Bioinform., 2011
GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies.
Bioinform., 2011
Bioinform., 2011
2010
J. Comput. Biol., 2010
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
CoRR, 2010
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso.
BMC Bioinform., 2010
Detecting two-locus associations allowing for interactions in genome-wide association studies.
Bioinform., 2010
Predictive rule inference for epistatic interaction detection in genome-wide association studies.
Bioinform., 2010
2009
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
BMC Bioinform., 2009
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.
Bioinform., 2009
2008
2006
Int. J. Data Warehous. Min., 2006
2005
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005