W. Pan

发表

Comparing three methods for variance estimation with duplicated high density oligonucleotide arrays

Xiaohong Huang, W. Pan, 2002, Functional & Integrative Genomics.

Structural Pursuit Over Multiple Undirected Graphs

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2014, Journal of the American Statistical Association.

Penalized model-based clustering with unconstrained covariance matrices.

Xiaotong Shen, W. Pan, Hui Zhou, 2009, Electronic journal of statistics.

Estimation of multiple networks in Gaussian mixture models.

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2016, Electronic journal of statistics.

Journal of the American Statistical Association Likelihood-based Selection and Sharp Parameter Estimation Likelihood-based Selection and Sharp Parameter Estimation

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2022 .

A New Algorithm and Theory for Penalized Regression-based Clustering

Wei Pan, Sunghoon Kwon, Xiaotong Shen, 2016, J. Mach. Learn. Res..

A Note on Marginal Linear Regression with Correlated Response Data

T. Louis, W. Pan, J. Connett, 2000 .

Akaike's Information Criterion in Generalized Estimating Equations

W. Pan, 2001, Biometrics.

Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2013, Journal of the American Statistical Association.

Penalized Model-Based Clustering with Application to Variable Selection

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2007, J. Mach. Learn. Res..

On Large Margin Hierarchical Classification With Multiple Paths

Xiaotong Shen, W. Pan, Junhui Wang, 2009, Journal of the American Statistical Association.

Model Selection in Estimating Equations

W Pan, W. Pan, 2001, Biometrics.

On the robust variance estimator in generalised estimating equations

W. Pan, 2001 .

SELECTING THE WORKING CORRELATION STRUCTURE IN GENERALIZED ESTIMATING EQUATIONS WITH APPLICATION TO THE LUNG HEALTH STUDY

Wei Pan, John E. Connett, W. Pan, 2002 .

A powerful fine-mapping method for transcriptome-wide association studies

W. Pan, Chong Wu, 2019, Human Genetics.

Longitudinal Analysis Is More Powerful than Cross-Sectional Analysis in Detecting Genetic Association with Neuroimaging Phenotypes

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2014, PloS one.

Variable Selection in Penalized Model‐Based Clustering Via Regularization on Grouped Parameters

Xiaotong Shen, W. Pan, Benhuai Xie, 2008, Biometrics.

Computation of the NPMLE of distribution functions for interval censored and truncated data with applications to the Cox model

Wei Pan, Rick Chappell, W. Pan, 1998 .

A Multiple Imputation Approach to Linear Regression with Clustered Censored Data

W Pan, W. Pan, J. Connett, 2001, Lifetime data analysis.

An adaptive association test for microbiome data

W. Pan, Junghi Kim, Chong Wu, 2016, Genome Medicine.

A Powerful Pathway-Based Adaptive Test for Genetic Association with Common or Rare Variants.

W. Pan, P. Wei, Il-Youp Kwak, 2015, American journal of human genetics.

A Powerful and Adaptive Association Test for Rare Variants

Xiaotong Shen, W. Pan, Junghi Kim, 2014, Genetics.

How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach

W. Pan, C. Le, Jizhen Lin, 2002, Genome Biology.

Constrained likelihood for reconstructing a directed acyclic Gaussian graph.

Xiaotong Shen, Zizhuo Wang, W. Pan, 2018, Biometrika.

A Case Study on Choosing Normalization Methods and Test Statistics for Two-Channel Microarray Data

A. Khodursky, B. Carlin, W. Pan, 2004, Comparative and functional genomics.

A Linear Mixed‐Effects Model for Multivariate Censored Data

T. Louis, W. Pan, 2000, Biometrics.

Adjusting for Population Stratification in a Fine Scale With Principal Components and Sequencing Data

Xiaotong Shen, W. Pan, Yiwei Zhang, 2013, Genetic epidemiology.

Model-based cluster analysis of microarray gene-expression data

W. Pan, C. Le, Jizhen Lin, 2002, Genome Biology.

Small‐sample adjustments in using the sandwich variance estimator in generalized estimating equations

W. Pan, Melanie M. Wall, 2002, Statistics in medicine.

Small‐sample performance of the robust score test and its modifications in generalized estimating equations

W. Pan, J. Connett, P. Hannan, 2005, Statistics in medicine.

Consensus Clustering of Gene Expression Data and its Application to Gene Function Prediction

W. Pan, Guanghua Xiao, 2007 .

Comparison of statistical tests for disease association with rare variants

Wei Pan, Saonli Basu, W. Pan, 2011, Genetic epidemiology.

Integration of Enhancer-Promoter Interactions with GWAS Summary Results Identifies Novel Schizophrenia-Associated Genes and Pathways

Wei Pan, Chong Wu, W. Pan, 2018, Genetics.

Network-based model weighting to detect multiple loci influencing complex diseases

Wei Pan, W. Pan, 2008, Human Genetics.

A Dimension Reduction Approach for Modeling Multi-Locus Interaction in Case-Control Studies

Wei Pan, Saonli Basu, W. Pan, 2011, Human Heredity.

A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data

W Pan, W. Pan, 2000, Biometrics.

Adjustment for Population Stratification via Principal Components in Association Analysis of Rare Variants

Wei Pan, Weihua Guan, W. Guan, 2013, Genetic epidemiology.

A Powerful Framework for Integrating eQTL and GWAS Summary Data

Wei Pan, Chong Wu, Peng Wei, 2017, Genetics.

Relationship between genomic distance‐based regression and kernel machine regression for multi‐marker association testing

Wei Pan, W. Pan, 2011, Genetic epidemiology.

Multilocus association testing with penalized regression

Wei Pan, Xiaotong Shen, Saonli Basu, 2011, Genetic epidemiology.

Statistica Sinica Preprint No : SS-2016-0531 Title A New Semiparametric Approach to Finite Mixture of Regressions using Penalized Regression via Fusion

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2018 .

A mixture model approach to detecting differentially expressed genes with microarray data

Wei Pan, Jizhen Lin, Chap T. Le, 2003, Functional & Integrative Genomics.

Methods for Estimating and Interpreting Provider-Specific Standardized Mortality Ratios

Wei Pan, Thomas A. Louis, T. Louis, 2003, Health Services and Outcomes Research Methodology.

Integrating DNA sequencing and transcriptomic data for association analyses of low-frequency variants and lipid traits.

W. Pan, P. Wei, Chong Wu, 2020, Human molecular genetics.

A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants

Wei Pan, Fang Han, W. Pan, 2010, Human Heredity.

Incorporating gene functional annotations in detecting differential gene expression

Wei Pan, W. Pan, 2006 .

Bias Variance Tradeo in Combining Subsample Estimates for a Very Large Data Set

W. Pan, 2011 .

ASYMPTOTICALLY INDEPENDENT U-STATISTICS IN HIGH-DIMENSIONAL TESTING.

W. Pan, Chong Wu, Gongjun Xu, 2018, Annals of statistics.

Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS

W. Pan, Chong Wu, Haoran Xue, 2020, Genetic epidemiology.

Integrating eQTL data with GWAS summary statistics in pathway‐based analysis with application to schizophrenia

W. Pan, Chong Wu, 2018, Genetic epidemiology.

Differential endothelial cell gene expression by African Americans versus Caucasian Americans: a possible contribution to health disparity in vascular disease and cancer

W. Pan, J. Enenstein, R. Hebbel, 2011, BMC medicine.

Genome-wide localization of mobile elements: experimental, statistical and biological considerations

A. Khodursky, W. Pan, Yang Xie, 2005, BMC Genomics.

New Penalized Regression Approaches to Analysis of Genetic and Genomic Data

W. Pan, 2012 .

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data

W. Pan, Haoran Xue, 2020, bioRxiv.

Does the inclusion of rare variants improve risk prediction?

Xiaotong Shen, W. Pan, E. Austin, 2014, BMC Proceedings.

An adaptive test for meta‐analysis of rare variant association studies

W. Pan, Junghi Kim, P. Wei, 2019, Genetic epidemiology.

Smooth Muscle Specific Deletion of Ndst1 Leads to Decreased Vessel Luminal Area and No Change in Blood Pressure in Conscious Mice

W. Pan, Jennifer L Hall, M. Billaud, 2012, Journal of Cardiovascular Translational Research.

Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data

W. Pan, Haoran Xue, 2022, bioRxiv.

A practical problem with Egger regression in Mendelian randomization

W. Pan, Zhaotong Lin, Isaac Pan, 2022, PLoS genetics.

Asymptotic Tests of Association with Multiple SNPs in Linkage Disequilibrium

W. Pan, 2011 .

Integrating germline and somatic genetics to identify genes associated with lung cancer

W. Pan, Xiaowei Zhan, Guanghua Xiao, 2019, Genetic epidemiology.

An adaptive gene-level association test for pedigree data

W. Pan, Chong Wu, Jun Young Park, 2018, BMC Genetics.

Statistica Sinica Preprint No : SS-2017-0354 Title An Adaptive Test on High-dimensional Parameters in Generalized Linear Models

W. Pan, Chong Wu, Chong Wu, 2018 .

An adaptive gene-based test for methylation data

W. Guan, W. Pan, Chong Wu, 2018, BMC Proceedings.

Deep reinforcement learning for personalized treatment recommendation

Xiaotong Shen, W. Pan, Ming Liu, 2022, Statistics in medicine.

Statistical power of transcriptome‐wide association studies

W. Pan, Haoran Xue, Ruoyu He, 2022, Genetic epidemiology.

Persistence of the effect of the Lung Health Study (LHS) smoking intervention over eleven years.

C. Rand, W. Pan, N. Anthonisen, 2002, Preventive medicine.

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Incorporating gene functions as priors in model-based clustering of microarray gene expression data

W. Pan, 2006 .

A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments

W. Pan, 2002 .

Inference for a Large Directed Acyclic Graph with Unspecified Interventions

Xiaotong Shen, W. Pan, Chunlin Li, 2021, 2110.03805.

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Reconstruction of a directed acyclic graph with intervention.

Xiaotong Shen, W. Pan, Si Peng, 2020, Electronic journal of statistics.

Leveraging omics data to boost the power of genome-wide association studies

W. Pan, Katherine A. Knutson, Zhaotong Lin, 2022, HGG advances.

Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s Disease

Xiaotong Shen, W. Pan, M. Fiecas, 2022, bioRxiv.

Flexible Instrumental Variable Models With Bayesian Additive Regression Trees

W. Pan, C. Spanbauer, 2022, 2210.01872.

Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles

W. Pan, C. Spanbauer, Charles Spanbauer, 2022, Genetic epidemiology.

Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies

W. Pan, M. McGue, S. Basu, 2017, Behavior Genetics.

Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies

W. Pan, Yangqing Deng, 2021, bioRxiv.

Imaging-wide association study: Integrating imaging endophenotypes in GWAS

Zhiyuan Xu, Wei Pan, Chong Wu, 2017, NeuroImage.

Approximate score‐based testing with application to multivariate trait association analysis

Wei Pan, W. Pan, Zhiyuan Xu, 2015, Genetic epidemiology.

Testing Group Differences in Brain Functional Connectivity: Using Correlations or Partial Correlations?

Wei Pan, Bryon A. Mueller, Junghi Kim, 2015, Brain Connect..

Network-based support vector machine for classification of microarray samples

Wei Pan, Xiaotong Shen, Yanni Zhu, 2009, BMC Bioinformatics.

Bootstrap Model Selection in Generalized Linear Models

W. Pan, 2011 .

Integrative and regularized principal component analysis of multiple sources of data

Wei Pan, Xiaotong Shen, Binghui Liu, 2016, Statistics in medicine.

Nonlinear joint latent variable models and integrative tumor subtype discovery

Xiaotong Shen, Binghui Liu, Wei Pan, 2016, Stat. Anal. Data Min..

A Nonparametric Estimator of Survival Functions for Arbitrarily Truncated and Censored Data

W Pan, W. Pan, R. Chappell, 1998, Lifetime data analysis.

Bootstrapping Likelihood for Model Selection with Small Samples

Wei Pan, W. Pan, 1999 .

Operon information improves gene expression estimation for cDNA microarrays

Wei Pan, Guanghua Xiao, Arkady B Khodursky, 2006, BMC Genomics.

Does it always help to adjust for misclassification of a binary outcome in logistic regression?

Wei Pan, Bradley P Carlin, Susan G Gerberich, 2005, Statistics in medicine.

Bayesian Joint Modeling of Multiple Gene Networks and Diverse Genomic Data to Identify Target Genes of a Transcription Factor.

Wei Pan, Peng Wei, W. Pan, 2012, The annals of applied statistics.

Network‐based genomic discovery: application and comparison of Markov random‐field models

Wei Pan, Peng Wei, W. Pan, 2010, Journal of the Royal Statistical Society. Series C, Applied statistics.

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm612 Systems biology

Wei Pan, Peng Wei, W. Pan, 2022 .

On High-Dimensional Constrained Maximum Likelihood Inference

Wei Pan, Yunzhang Zhu, Xiaotong Shen, 2020, Journal of the American Statistical Association.

Combining gene annotations and gene expression data in model-based clustering: weighted method.

Wei Pan, Peng Wei, Desheng Huang, 2006, Omics : a journal of integrative biology.

A Note on Inconsistency of NPMLE of the Distribution Function from Left Truncated and Case I Interval Censored Data

W. Pan, R. Chappell, 1999, Lifetime data analysis.

Network-based multiple locus linkage analysis of expression traits

Wei Pan, W. Pan, 2009, Bioinform..

Statistical Tests of Genetic Association in the Presence of Gene-Gene and Gene-Environment Interactions

Wei Pan, W. Pan, 2009, Human Heredity.

Testing Genetic Pleiotropy with GWAS Summary Statistics for Marginal and Conditional Analyses

Wei Pan, Yangqing Deng, W. Pan, 2017, Genetics.

Asymptotic tests of association with multiple SNPs in linkage disequilibrium

Wei Pan, W. Pan, 2009, Genetic epidemiology.

An adaptive gene-level association test for pedigree data

W. Pan, Chong Wu, Jun Young Park, 2018, BMC Genetics.

Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies

Saonli Basu, Wei Pan, Chong Wu, 2018, Behavior genetics.

Gene- and pathway-based association tests for multiple traits with GWAS summary statistics

Wei Pan, Il-Youp Kwak, W. Pan, 2016, bioRxiv.

An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics

Wei Pan, Junghi Kim, W. Pan, 2015, Genetic epidemiology.

Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.

Xiaotong Shen, W. Pan, Haoran Xue, 2021, American journal of human genetics.

Conditional analysis of multiple quantitative traits based on marginal GWAS summary statistics

Wei Pan, Yangqing Deng, W. Pan, 2017, Genetic epidemiology.

Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data

Wei Pan, Zhiyuan Xu, Yiwei Zhang, 2014, NeuroImage.

Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data

W. Pan, Haoran Xue, 2022, bioRxiv.

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data

Wei Pan, Haoran Xue, W. Pan, 2020, bioRxiv.

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.

Xiaotong Shen, W. Pan, Ming Liu, 2023, Biostatistics.

Implicating causal brain imaging endophenotypes in Alzheimer’s disease using multivariable IWAS and GWAS summary data

Wei Pan, Yangqing Deng, Katherine A. Knutson, 2020, NeuroImage.

A powerful fine-mapping method for transcriptome-wide association studies

W. Pan, Chong Wu, 2019, Human Genetics.

Significance Testing for Allelic Heterogeneity

Wei Pan, Yangqing Deng, W. Pan, 2018, Genetics.

Improved Use of Small Reference Panels for Conditional and Joint Analysis with GWAS Summary Statistics

Wei Pan, Yangqing Deng, W. Pan, 2018, Genetics.

Adaptive gene- and pathway-trait association testing with GWAS summary statistics

Wei Pan, Il-Youp Kwak, W. Pan, 2016, Bioinform..

Adaptive testing for association between two random vectors in moderate to high dimensions

Wei Pan, Gongjun Xu, W. Pan, 2017, Genetic epidemiology.

Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data

W. Pan, Yi He, Jizhen Lin, 2006, Comput. Stat. Data Anal..

Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes

Wei Pan, Chong Wu, W. Pan, 2019, Bioinform..

Gene expression A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data

Wei Pan, Yang Xie, Arkady B. Khodursky, 2005 .

A Bayesian approach to joint modeling of protein–DNA binding, gene expression and sequence data

Wei Pan, Yang Xie, Guanghua Xiao, 2010, Statistics in medicine.

Incorporating Gene Functions into Regression Analysis of DNA-Protein Binding Data and Gene Expression Data to Construct Transcriptional Networks

Wei Pan, W. Pan, Peng Wei, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Incorporating prior information via shrinkage: a combined analysis of genome‐wide location data and gene expression data

Wei Pan, Yang Xie, Kyeong S Jeong, 2007, Statistics in medicine.

Significance tests of feature relevance for a blackbox learner

Xiaotong Shen, W. Pan, Ben Dai, 2021, IEEE transactions on neural networks and learning systems.

Adaptive tests for association analysis of rare variants

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2011, Genetic epidemiology.

Penalized regression and model selection methods for polygenic scores on summary statistics

Wei Pan, Jack Pattee, W. Pan, 2020, PLoS Comput. Biol..

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

Xiaotong Shen, W. Pan, Tianzhong Yang, 2023, bioRxiv.

A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data

Wei Pan, Xiaotong Shen, Zhong Zhuang, 2019, Bioinform..

Borrowing information from relevant microarray studies for sample classification using weighted partial least squares

Wei Pan, Xiaohong Huang, Yingjie Chen, 2005, Comput. Biol. Chem..

Predictor Network in Penalized Regression with Application to Microarray Data”

Wei Pan, Xiaotong Shen, Benhuai Xie, 2009 .

Abnormal Endothelial Gene Expression Associated With Early Coronary Atherosclerosis

W. Pan, L. Lerman, A. Lerman, 2020, Journal of the American Heart Association.

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer

W. Pan, T. Rebbeck, C. Haiman, 2021, Cancer communications.

A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments

Wei Pan, W. Pan, 2002, Bioinform..

Using Weighted Permutation Scores to Detect Differential Gene Expression with Microarray Data

XU GUO, WEI PAN, W. Pan, 2005, J. Bioinform. Comput. Biol..

On the Use of Permutation in and the Performance of A Class of Nonparametric Methods to Detect Differential Gene Expression

Wei Pan, W. Pan, 2003, Bioinform..

A NOVEL AND EFFICIENT ALGORITHM FOR DE NOVO DISCOVERY OF MUTATED DRIVER PATHWAYS IN CANCER

Wei Pan, Xiaotong Shen, Binghui Liu, 2017, bioRxiv.

On Efficient Large Margin Semisupervised Learning: Method and Theory

Wei Pan, Junhui Wang, Xiaotong Shen, 2009, J. Mach. Learn. Res..

Semi-supervised learning via penalized mixture model with application to microarray sample classification

Wei Pan, Xiaotong Shen, Robert P. Hebbel, 2006, Bioinform..

Penalized regression and risk prediction in genome‐wide association studies

Wei Pan, Xiaotong Shen, Erin Austin, 2013, Stat. Anal. Data Min..

Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels

Wei Pan, Peng Wei, Tianzhong Yang, 2020, Bioinform..

Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model

W. Pan, Zhaotong Lin, Yangqing Deng, 2021, PLoS genetics.

Genetic endothelial systems biology of sickle stroke risk.

Wei Pan, W. Pan, J. Scott, 2008, Blood.

An Adaptive Test on High-dimensional Parameters in Generalized Linear Models

W. Pan, Chong Wu, Gongjun Xu, 2019, Statistica Sinica.

A Novel Statistic for Global Association Testing Based on Penalized Regression

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2015, Genetic epidemiology.

Principal Component Regression and Linear Mixed Model in Association Analysis of Structured Samples: Competitors or Complements?

W. Pan, Yiwei Zhang, 2015, Genetic epidemiology.

Identification of gene expression profiles in rat ears with cDNA microarrays

Wei Pan, Jizhen Lin, Eric Javel, 2003, Hearing Research.

A powerful and versatile colocalization test

Wei Pan, Yangqing Deng, W. Pan, 2020, PLoS Comput. Biol..

On Robust Association Testing for Quantitative Traits and Rare Variants

Wei Pan, Eric Boerwinkle, Il-Youp Kwak, 2016, G3: Genes, Genomes, Genetics.

Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data

Wei Pan, Xiaotong Shen, Benhuai Xie, 2010, Bioinform..

Highly adaptive tests for group differences in brain functional connectivity

Wei Pan, Junghi Kim, W. Pan, 2015, NeuroImage: Clinical.

Integrating brain imaging endophenotypes with GWAS for Alzheimer’s disease

Wei Pan, W. Pan, Katherine A. Knutson, 2020, Quantitative Biology.

A cautionary note on using secondary phenotypes in neuroimaging genetic studies

Junghi Kim, Wei Pan, W. Pan, 2015, NeuroImage.

Bioinformatics Original Paper Incorporating Gene Functions as Priors in Model-based Clustering of Microarray Gene Expression Data

Wei Pan, W. Pan, 2022 .

Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images

Wei Pan, Xiaotong Shen, Mengli Xiao, 2019, Genetic epidemiology.

Adaptive Tests for Detecting Gene-Gene and Gene-Environment Interactions

Wei Pan, Xiaotong Shen, Saonli Basu, 2011, Human Heredity.

Analysis by cDNA microarrays of altered gene expression in middle ears of rats following pneumococcal infection.

W. Pan, Jizhen Lin, G. Adams, 2002, International journal of pediatric otorhinolaryngology.

Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data

Wei Pan, Feng Tai, W. Pan, 2007, Bioinform..

Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms

Wei Pan, Feng Tai, W. Pan, 2007, Bioinform..

Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data

Wei Pan, Desheng Huang, W. Pan, 2006, Bioinform..

Gene expression Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data

W. Pan, Desheng Huang, Desheng Huang, 2006 .

A Note on the Use of Marginal Likelihood and Conditional Likelihood in Analyzing Clustered Data

Wei Pan, W. Pan, 2002 .

A Bayesian Partitioning Model for the Detection of Multilocus Effects in Case-Control Studies

Wei Pan, Xiang Li, Saonli Basu, 2015, Human Heredity.

Extending the Iterative Convex Minorant Algorithm to the Cox Model for Interval Censored Data

Wei Pan, W. Pan, 2011 .

A Long-Term Age-Specific Survival Analysis of Female White-Tailed Deer

JOHN FIEBERG, GLENN D. DELGIUDICE, W. Pan, 2006 .

Estimation in the Cox Proportional Hazards Model with Left‐Truncated and Interval‐Censored Data

W. Pan, R. Chappell, 2002, Biometrics.

Comparison of statistical tests for group differences in brain functional networks

Wei Pan, Bryon A. Mueller, Junghi Kim, 2014, NeuroImage.

Nonlinear causal discovery with confounders*

Xiaotong Shen, W. Pan, Chunlin Li, 2023, Journal of the American Statistical Association.

Likelihood Ratio Tests for a Large Directed Acyclic Graph

Wei Pan, Chunlin Li, Xiaotong Shen, 2019, Journal of the American Statistical Association.

On constrained and regularized high-dimensional regression

Wei Pan, Yunzhang Zhu, Xiaotong Shen, 2013, Annals of the Institute of Statistical Mathematics.

Estimating survival curves with left truncated and interval censored data via the ems algorithm

W. Pan, R. Chappell, 1998 .

Estimating survival curves with left-truncated and interval-censored data under monotone hazards.

W. Pan, R. Chappell, Wei Pan, 1998, Biometrics.

Some Statistical Consideration in Transcriptome-Wide Association Studies

Wei Pan, Haoran Xue, W. Pan, 2019, bioRxiv.

Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling

Wei Pan, Gongjun Xu, Yangqing Deng, 2020, Biometrics.

A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models

Xiaotong Shen, Wei Pan, Gongjun Xu, 2020, Journal of machine learning research : JMLR.

Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data

Wei Pan, Junghi Kim, W. Pan, 2016, Genetics.

Testing for Polygenic Effects in Genome‐Wide Association Studies

Wei Pan, Peng Wei, Yue-Ming Chen, 2015, Genetic epidemiology.

Some statistical consideration in transcriptome‐wide association studies

W. Pan, Haoran Xue, 2019, Genetic epidemiology.

An adaptive two-sample test for high-dimensional means

Wei Pan, Lifeng Lin, Gongjun Xu, 2016, Biometrika.

A Two-Step Penalized Regression Method with Networked Predictors

Wei Pan, Xiaotong Shen, Chong Luo, 2012, Statistics in biosciences.

Support Vector Machines with Disease-gene-centric Network Penalty for High Dimensional Microarray Data.

Wei Pan, Xiaotong Shen, Yanni Zhu, 2009, Statistics and its interface.

Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables.

Wei Pan, Xiaotong Shen, Benhuai Xie, 2008, Electronic journal of statistics.

Penalized model-based clustering with cluster-specic diagonal covariances and grouped variables

Xiaotong Shen, W Pan, B. Wie, 2008 .

Inference for a Large Directed Acyclic Graph with Unspecified Interventions

Xiaotong Shen, W. Pan, Chunlin Li, 2021, J. Mach. Learn. Res..

Inference for a Large Directed Graphical Model with Interventions

Wei Pan, Chunlin Li, Xiaotong Shen, 2021 .

Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data

Xiaotong Shen, W. Pan, Haoran Xue, 2023, Journal of the American Statistical Association.

Test Selection with Application to Detecting Disease Association with Multiple SNPs

Wei Pan, Fang Han, Xiaotong Shen, 2009, Human Heredity.

Gene Function Prediction by a Combined Analysis of Gene Expression Data and Protein-protein Interaction Data

Wei Pan, Guanghua Xiao, W. Pan, 2005, J. Bioinform. Comput. Biol..

Incorporating Biological Information as a Prior in an Empirical Bayes Approach to Analyzing Microarray Data

Wei Pan, W. Pan, 2005, Statistical applications in genetics and molecular biology.

Using input dependent weights for model combination and model selection with multiple sources of data

Wei Pan, Xiaohong Huang, Guanghua Xiao, 2006 .

Outcome weighted ψ‐learning for individualized treatment rules

Xiaotong Shen, Wei Pan, Mingyang Liu, 2020, Stat.

Bootstrap model selection in generalized linear models

W. Pan, C. Le, 2001 .

Bootstrapping Likelihood for Model Selection with Small Samples

Wei Pan, W. Pan, 1998 .

A BOOTSTRAP MODEL COMPARISON TEST FOR IDENTIFYING GENES WITH CONTEXT-SPECIFIC PATTERNS OF GENETIC REGULATION

Xiaotong Shen, W. Pan, Ben Dai, 2023, bioRxiv.

A NONPARAMETRIC EMPIRICAL BAYES APPROACH TO JOINT MODELING OF MULTIPLE SOURCES OF GENOMIC DATA

Yang Xie, Wei Pan, Kyeong S. Jeong, 2008 .

Using Frailties in the Accelerated Failure Time Model

W Pan, W. Pan, 2001, Lifetime data analysis.

Winter severity, survival, and cause-specific mortality of female white-tailed deer in north-central Minnesota

Wei Pan, Pierre Joly, Michael R. Riggs, 2002 .

Graphical model checking with correlated response data

S. Weisberg, W. Pan, J. Connett, 2001, Statistics in medicine.

Rank invariant tests with left truncated and interval censored data

Wei Pan, W. Pan, 1998 .

A Unified Framework for Detecting Genetic Association with Multiple SNPs in a Candidate Gene or Region: Contrasting Genotype Scores and LD Patterns between Cases and Controls

Wei Pan, W. Pan, 2009, Human Heredity.

Approximate Con dence Intervals for One Proportion and Di erence of Two Proportions

W. Pan, 2011 .

Approximate confidence intervals for one proportion and difference of two proportions

Wei Pan, W. Pan, 2002 .

A Multiple Imputation Approach to Regression Analysis for Doubly Censored Data with Application to AIDS Studies

W Pan, W. Pan, 2001, Biometrics.

Smooth estimation of the survival function for interval censored data.

W Pan, W. Pan, 2000, Statistics in medicine.

Smooth Estimation of the Survival for Interval Censored Data: An Empirical Study

W. Pan, 1997 .

Goodness‐of‐fit Tests for GEE with Correlated Binary Data

Wei Pan, W. Pan, 2002 .

A comparative study of discriminating human heart failure etiology using gene expression profiles

Wei Pan, Xiaohong Huang, Yingjie Chen, 2005, BMC Bioinformatics.

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty

Wei Pan, Xiaotong Shen, Binghui Liu, 2013, J. Mach. Learn. Res..

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

Wei Pan, Xiaotong Shen, Huixin Wang, 2011, J. Mach. Learn. Res..

A Practical Question Based on Cross-Platform microarray Data Normalization: are Boec More Like Large Vessel or microvascular Endothelial Cells or Neither of Them?

Wei Pan, Shyr Yu, Robert P. Hebbel, 2007, J. Bioinform. Comput. Biol..

Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP‐brain network associations

Wei Pan, Junghi Kim, W. Pan, 2017, Genetic epidemiology.

Incorporating Gene Functions into Regression Analysis of DNA-Protein Binding Data and Gene Expression Data to Construct Transcriptional Networks

Wei Pan, Peng Wei, W. Pan, 2008, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Linear regression for bivariate censored data via multiple imputation.

W Pan, C Kooperberg, W. Pan, 1999, Statistics in medicine.

Using GWAS summary data to impute traits for genotyped individuals

Xiaotong Shen, W. Pan, Zhaotong Lin, 2023, HGG advances.

Powerful multi‐marker association tests: unifying genomic distance‐based regression and logistic regression

Wei Pan, Fang Han, W. Pan, 2010, Genetic epidemiology.

Sample size and power calculations with correlated binary data.

W Pan, W. Pan, Wei Pan, 2001, Controlled clinical trials.

Simultaneous supervised clustering and feature selection over a graph.

Wei Pan, Xiaotong Shen, Hsin-Cheng Huang, 2012, Biometrika.

Modified Nonparametric Approaches to Detecting Differentially Expressed Genes in Replicated Microarray Experiments

Wei Pan, Yanli Zhao, W. Pan, 2003, Bioinform..

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data

W. Pan, Haoran Xue, Zhaotong Lin, 2023, PLoS genetics.

On consistency of the monotone MLE of survival for left truncated and interval-censored data

M. Kosorok, W. Pan, R. Chappell, 1998 .

Binomial Mixture Model Based Association Testing to Account for Genetic Heterogeneity for GWAS

W. Pan, Zhiyuan Xu, 2016, Genetic epidemiology.

Deep causal feature extraction and inference with neuroimaging genetic data

Xiaotong Shen, W. Pan, Lin Zhang, 2023, Statistics in medicine.

Guidelines for performing Mendelian randomization investigations: update for summer 2023

George Davey Smith, Z. Kutalik, W. Pan, 2019, Wellcome open research.

Application of conditional moment tests to model checking for generalized linear models.

Wei Pan, W. Pan, 2002, Biostatistics.

Shrinking classification trees for bootstrap aggregation

Wei Pan, W. Pan, 1999, Pattern Recognit. Lett..

Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model

W. Pan, P. Wei, Peng Wei, 2008, Bioinform..

A graph convolutional neural network for gene expression data analysis with multiple gene networks

W. Pan, Zhong Zhuang, Hu Yang, 2021, Statistics in medicine.

Genetic Epidemiology

W. Pan, Haoran Xue, 2020 .

Binomial Mixture Model‐based Association Tests under Genetic Heterogeneity

W. Pan, Hui Zhou, 2009, Annals of human genetics.

MATS: A novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits.

W. Pan, Katherine A. Knutson, 2022, Human Molecular Genetics.

Linear regression and two-class classification with gene expression data

Wei Pan, Xiaohong Huang, Xiaohong Huang, 2003, Bioinform..

A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor

Wei Pan, Peng Wei, Arkady B. Khodursky, 2007, Pacific Symposium on Biocomputing.

Network‐Based Penalized Regression With Application to Genomic Data

Wei Pan, Xiaotong Shen, Sunkyung Kim, 2013, Biometrics.

A comparison of some two-sample tests with interval censored data

W. Pan, 1999 .

Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data

Xiaotong Shen, W. Pan, Zhaotong Lin, 2023, Genetic epidemiology.

Genetic Epidemiology

W. Pan, Xiaowei Zhan, Guanghua Xiao, 2020 .

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs

Wei Pan, Xiaotong Shen, Yiping Yuan, 2012, Stat. Anal. Data Min..

A Composite Likelihood Approach to Latent Multivariate Gaussian Modeling of SNP Data with Application to Genetic Association Testing

W. Pan, Fang Han, 2012, Biometrics.

A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants

W. Pan, Fang Han, 2010, Human Heredity.

Penalized regression approaches to testing for quantitative trait-rare variant association

Wei Pan, Xiaotong Shen, Sunkyung Kim, 2014, Front. Genet..

Adjustment for Population Stratification via Principal Components in Association Analysis of Rare Variants

W. Guan, W. Pan, Yiwei Zhang, 2013, Genetic epidemiology.

A Unified Framework for Detecting Genetic Association with Multiple SNPs in a Candidate Gene or Region: Contrasting Genotype Scores and LD Patterns between Cases and Controls

W. Pan, 2009, Human Heredity.

Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks

Wei Pan, Mengli Xiao, Zhong Zhuang, 2019, Genes.

Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data

W. Pan, Junghi Kim, Yiwei Zhang, 2016, Genetics.

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Likelihood-Based Selection and Sharp Parameter Estimation

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2012, Journal of the American Statistical Association.

A Two-Step Penalized Regression Method with Networked Predictors

Xiaotong Shen, W. Pan, Chong Luo, 2012, Statistics in Biosciences.

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs

Xiaotong Shen, W. Pan, Yiping Yuan, 2012, Stat. Anal. Data Min..

On the Robust Variance Estimator in Generalised Estimating Equations

W. Pan, 2011 .

Goodness-of-® t Tests for GEE with Correlated Binary Data

W. Pan, 2002 .

Nonlinear joint latent variable models and integrative tumor subtype discovery

Xiaotong Shen, W. Pan, Binghui Liu, 2016, Stat. Anal. Data Min..

Significance Tests of Feature Relevance for a Black-Box Learner

Xiaotong Shen, W. Pan, Ben Dai, 2021, IEEE Transactions on Neural Networks and Learning Systems.

State-level adjusted ESRD incident rates: use of observed vs model-predicted category-specific rates.

W. Pan, A. Collins, Jiannong Liu, 2006, Kidney international.

Validation of genetic variants associated with early acute rejection in kidney allograft transplantation

W. Pan, A. Matas, W. Oetting, 2012, Clinical Transplantation.

Bayesian variable selection in regression with networked predictors

Wei Pan, Xiaotong Shen, F Tai, 2010 .

Semi-supervised spectral clustering with application to detect population stratification

Wei Pan, Xiaotong Shen, Binghui Liu, 2013, Front. Genet..