We stand with Ukraine

We stand with Ukraine

Wei Pan

Orcid: 0000-0002-1159-0582

Affiliations:

University of Minnesota, School of Public Health, Division of Biostatistics and Health Data Science, Minneapolis, MN, USA

According to our database¹, Wei Pan authored at least 54 papers between 1999 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2025

Extracting Genetically-Imputed Causal Features From ECG Data.

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Stat. Anal. Data Min., 2025

2024

Significance Tests of Feature Relevance for a Black-Box Learner.

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IEEE Trans. Neural Networks Learn. Syst., February, 2024

Causal Discovery with Generalized Linear Models through Peeling Algorithms.

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J. Mach. Learn. Res., 2024

Inference of nonlinear causal effects with application to TWAS with GWAS summary data.

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Proceedings of the Causal Learning and Reasoning, 2024

2023

Inference for a Large Directed Acyclic Graph with Unspecified Interventions.

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J. Mach. Learn. Res., 2023

2022

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation.

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CoRR, 2022

2021

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

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PLoS Comput. Biol., 2021

Two-level monotonic multistage recommender systems.

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CoRR, 2021

Significance tests of feature relevance for a blackbox learner.

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CoRR, 2021

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

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Bioinform., 2021

2020

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

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PLoS Comput. Biol., 2020

A powerful and versatile colocalization test.

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PLoS Comput. Biol., 2020

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

[DOI]

Katherine A. Knutson

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NeuroImage, 2020

A Regularization-Based Adaptive Test for High-Dimensional GLMs.

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J. Mach. Learn. Res., 2020

2019

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

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Bioinform., 2019

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

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Bioinform., 2019

2017

Imaging-wide association study: Integrating imaging endophenotypes in GWAS.

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NeuroImage, 2017

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

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Bioinform., 2017

2016

Nonlinear joint latent variable models and integrative tumor subtype discovery.

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Stat. Anal. Data Min., 2016

A New Algorithm and Theory for Penalized Regression-based Clustering.

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J. Mach. Learn. Res., 2016

2015

A cautionary note on using secondary phenotypes in neuroimaging genetic studies.

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NeuroImage, 2015

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

[DOI]

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Jeffrey R. Wozniak

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Bryon A. Mueller

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Brain Connect., 2015

2014

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

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NeuroImage, 2014

Comparison of statistical tests for group differences in brain functional networks.

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Jeffrey R. Wozniak

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Bryon A. Mueller

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NeuroImage, 2014

2013

Penalized regression and risk prediction in genome-wide association studies.

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Stat. Anal. Data Min., 2013

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

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J. Mach. Learn. Res., 2013

2012

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs.

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Stat. Anal. Data Min., 2012

2011

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership.

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J. Mach. Learn. Res., 2011

2010

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

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Bioinform., 2010

2009

On Efficient Large Margin Semisupervised Learning: Method and Theory.

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J. Mach. Learn. Res., 2009

Network-based support vector machine for classification of microarray samples.

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BMC Bioinform., 2009

Network-based multiple locus linkage analysis of expression traits.

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Bioinform., 2009

2008

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

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IEEE ACM Trans. Comput. Biol. Bioinform., 2008

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

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Bioinform., 2008

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

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Arkady B. Khodursky

Proceedings of the Biocomputing 2008, 2008

2007

Penalized Model-Based Clustering with Application to Variable Selection.

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J. Mach. Learn. Res., 2007

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

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Liming C. Milbauer

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Robert P. Hebbel

J. Bioinform. Comput. Biol., 2007

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

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Bioinform., 2007

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

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Bioinform., 2007

2006

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

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Comput. Stat. Data Anal., 2006

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

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Robert P. Hebbel

Bioinform., 2006

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

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Bioinform., 2006

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

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Bioinform., 2006

2005

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

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J. Bioinform. Comput. Biol., 2005

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

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J. Bioinform. Comput. Biol., 2005

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

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Leslie W. Miller

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Comput. Biol. Chem., 2005

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

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Suzanne Grindle

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Leslie W. Miller

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BMC Bioinform., 2005

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

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Arkady B. Khodursky

Bioinform., 2005

2004

Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares.

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Leslie W. Miller

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Bioinform., 2004

2003

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

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Bioinform., 2003

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

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Bioinform., 2003

Linear regression and two-class classification with gene expression data.

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Bioinform., 2003

2002

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

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Bioinform., 2002

1999

Shrinking classification trees for bootstrap aggregation.

[DOI]

Pattern Recognit. Lett., 1999

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