X. Wan

发表

The complete compositional epistasis detection in genome-wide association studies

Hongyu Zhao, Qiang Yang, X. Wan, 2013, BMC Genetics.

Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

Tiejun Tong, X. Wan, T. Tong, 2015, Statistical methods in medical research.

SNPHarvester : a filtering method for detecting epistatic interactions in genome-wide association studies

Qiang Yang, H. Xue, Zengyou He, 2008 .

Introduction to Statistical Methods for Integrative Data Analysis in Genome-Wide Association Studies

Michael K. Ng, Can Yang, Xiang Wan, 2016 .

NBLDA: negative binomial linear discriminant analysis for RNA-Seq data

Hongyu Zhao, Xiang Wan, Kai Dong, 2015, BMC Bioinformatics.

Supporting information for “ LSMM : A statistical approach to integrating functional annotations with genome-wide association studies ”

Jin Liu, X. Wan, Can Yang, 2018 .

A Penalized Regression Approach for Integrative Analysis in Gen ome-Wide Association Studies

X. Wan, Can Yang, H. Zhang, 2015 .

SNPHarvester :a filte ring-base dapproac hfo rdetecting epistati cinteraction si ngenome-wid eassociatio nstudies

Qiang Yang, H. Xue, Zengyou He, 2008 .

SNPHarvester: a ﬁltering-based approach for detecting epistatic interactions in genome-wide association studies

H. Xue, Zengyou He, X. Wan, 2009 .

BIOINFORMATICS Predictive rule inference for epistatic interaction detection in genome-wide association studies

Qiang Yang, X. Wan, Can Yang, 2022 .

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis

X. Wan, Can Yang, Gang Chen, 2022, Bioinform..

Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso

Qiang Yang, Can Yang, Xiang Wan, 2010, BMC Bioinformatics.

Inferring Epidemic Network Topology from Surveillance Data

Jiming Liu, Tiejun Tong, Xiang Wan, 2014, PloS one.

Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

Jiming Liu, Xiang Wan, Wenqian Wang, 2014, BMC Medical Research Methodology.

Detecting the skewness of data from the sample size and the five-number summary

X. Wan, T. Tong, Dehui Luo, 2020 .

Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics

Hongyu Zhao, Yang Wang, Heng Peng, 2022, bioRxiv.

MR-APSS: a unified approach to Mendelian Randomization accounting for pleiotropy and sample structure using genome-wide summary statistics

Hongyu Zhao, Yang Wang, Heng Peng, 2021 .

LLR: a latent low‐rank approach to colocalizing genetic risk variants in multiple GWAS

Chao Yang, Jin Liu, Xiaowei Zhou, 2017, Bioinform..

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes

Jin Liu, Can Yang, Xiang Wan, 2016, Bioinform..

Leveraging the local genetic structure for trans-ancestry association mapping

X. Wan, Can Yang, Gang Chen, 2022, bioRxiv.

Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data

Xiang Wan, Adam Hall, E. Luke McCarthy, 2012, Bioinform..

CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information

Jin Liu, Xiang Zhou, Can Yang, 2018, Bioinform..

FIRM: Fast Integration of single-cell RNA-sequencing data across Multiple platforms

Xiang Wan, Can Yang, Zhixiang Lin, 2020 .

Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model

Paul Pavlidis, Maria Karayiorgou, P. Pavlidis, 2008, Nature Genetics.

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy

Jin Liu, Zongben Xu, Can Yang, 2018, Bioinform..

FIRM: Flexible Integration of single-cell RNA-sequencing data for large-scale Multi-tissue cell atlas datasets

A. Wu, X. Wan, Can Yang, 2020, bioRxiv.

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies

Qiang Yang, Zengyou He, Can Yang, 2011, BMC Bioinformatics.

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study

Qiang Yang, Can Yang, Xiang Wan, 2009, BMC Bioinformatics.

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies

Qiang Yang, Can Yang, Xiang Wan, 2010, American journal of human genetics.

Piecewise-constant and low-rank approximation for identification of recurrent copy number variations

Jiming Liu, Xiaowei Zhou, Xiang Wan, 2014, Bioinform..

A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits.

Hongyu Zhao, X. Wan, Can Yang, 2021, American journal of human genetics.

Sharing and Reusing Gene Expression Profiling Data in Neuroscience

Xiang Wan, Paul Pavlidis, P. Pavlidis, 2007, Neuroinformatics.

Identifying disease-associated SNP clusters via contiguous outlier detection

Qiang Yang, Xiaowei Zhou, Can Yang, 2011, Bioinform..

SpatialScope: A unified approach for integrating spatial and single-cell transcriptomics data using deep generative models

Yang Wang, A. Wu, X. Wan, 2023, bioRxiv.

HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies

Qiang Yang, Hongyu Zhao, Can Yang, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Testing normality using the summary statistics with application to meta-analysis

X. Wan, T. Tong, Dehui Luo, 2018, 1801.09456.

Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach

Jiming Liu, Can Yang, Xiang Wan, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predictive rule inference for epistatic interaction detection in genome-wide association studies

Qiang Yang, Can Yang, Xiang Wan, 2010, Bioinform..

Learning to improve medical decision making from imbalanced data without a priori cost

Jiming Liu, Xiang Wan, William Kwok-Wai Cheung, 2014, BMC Medical Informatics and Decision Making.

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies

Qiang Yang, Zengyou He, Can Yang, 2009, Bioinform..

GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Can Yang, Xiang Wan, Weichuan Yu, 2011, Bioinform..

PALM: A Powerful and Adaptive Latent Model for Prioritizing Risk Variants with Functional Annotations

Yuling Jiao, X. Wan, Can Yang, 2023, Bioinformatics.

LSMM: a statistical approach to integrating functional annotations with genome-wide association studies

Jin Liu, Can Yang, Xiang Wan, 2017, Bioinform..

Detecting two-locus associations allowing for interactions in genome-wide association studies

Qiang Yang, Can Yang, Xiang Wan, 2010, Bioinform..

Comments on 'An empirical comparison of several recent epistatic interaction detection methods'

Can Yang, Xiang Wan, Weichuan Yu, 2012, Bioinform..

Multisample aCGH Data Analysis via Total Variation and Spectral Regularization

Hongyu Zhao, Xiaowei Zhou, Can Yang, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A hidden two-locus disease association pattern in genome-wide association studies

Qiang Yang, Can Yang, Xiang Wan, 2011, BMC Bioinformatics.

IGESS: a statistical approach to integrating individual‐level genotype data and summary statistics in genome‐wide association studies

Jin Liu, Zongben Xu, Can Yang, 2017, Bioinform..

Classifying next-generation sequencing data using a zero-inflated Poisson model.

X. Wan, Yan Zhou, T. Tong, 2018 .

Classifying next‐generation sequencing data using a zero‐inflated Poisson model

Yan Zhou, Xiang Wan, Baoxue Zhang, 2018, Bioinform..

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies

Qiang Yang, H. Xue, Zengyou He, 2009, Bioinform..

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations

Yuling Jiao, X. Wan, Can Yang, 2023, Bioinformatics.

GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data

Yan Zhou, Xiang Wan, Baoxue Zhang, 2017, J. Comput. Biol..