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 40 papers between 1999 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Extracting Genetically-Imputed Causal Features From ECG Data.
Stat. Anal. Data Min., 2025

2024
Significance Tests of Feature Relevance for a Black-Box Learner.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2021
Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.
PLoS Comput. Biol., 2021

Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels.
Bioinform., 2021

2020
Penalized regression and model selection methods for polygenic scores on summary statistics.
PLoS Comput. Biol., 2020

A powerful and versatile colocalization test.
PLoS Comput. Biol., 2020

Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data.
NeuroImage, 2020

2019
A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data.
Bioinform., 2019

Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes.
Bioinform., 2019

2017
Imaging-wide association study: Integrating imaging endophenotypes in GWAS.
NeuroImage, 2017

Gene- and pathway-based association tests for multiple traits with GWAS summary statistics.
Bioinform., 2017

2016
Nonlinear joint latent variable models and integrative tumor subtype discovery.
Stat. Anal. Data Min., 2016

2015
A cautionary note on using secondary phenotypes in neuroimaging genetic studies.
NeuroImage, 2015

Testing Group Differences in Brain Functional Connectivity: Using Correlations or Partial Correlations?
Brain Connect., 2015

2013
Penalized regression and risk prediction in genome-wide association studies.
Stat. Anal. Data Min., 2013

2012
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs.
Stat. Anal. Data Min., 2012

2010
Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data.
Bioinform., 2010

2009
Network-based support vector machine for classification of microarray samples.
BMC Bioinform., 2009

Network-based multiple locus linkage analysis of expression traits.
Bioinform., 2009

2008
Incorporating Gene Functions into Regression Analysis of DNA-Protein Binding Data and Gene Expression Data to Construct Transcriptional Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008

Incorporating gene networks into statistical tests for genomic data via a spatially correlated mixture model.
Bioinform., 2008

A Parametric Joint Model of DNA-Protein Binding, Gene Expression and DNA Sequence Data to Detect Target Genes of a Transcription Factor.
Proceedings of the Biocomputing 2008, 2008

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?
J. Bioinform. Comput. Biol., 2007

Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data.
Bioinform., 2007

Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms.
Bioinform., 2007

2006
Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data.
Comput. Stat. Data Anal., 2006

Semi-supervised learning via penalized mixture model with application to microarray sample classification.
Bioinform., 2006

Incorporating gene functions as priors in model-based clustering of microarray gene expression data.
Bioinform., 2006

Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data.
Bioinform., 2006

2005
Gene Function Prediction by a Combined Analysis of Gene Expression Data and Protein-protein Interaction Data.
J. Bioinform. Comput. Biol., 2005

Using Weighted Permutation Scores to Detect Differential Gene Expression with Microarray Data.
J. Bioinform. Comput. Biol., 2005

Borrowing information from relevant microarray studies for sample classification using weighted partial least squares.
Comput. Biol. Chem., 2005

A comparative study of discriminating human heart failure etiology using gene expression profiles.
BMC Bioinform., 2005

A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.
Bioinform., 2005

2004
Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares.
Bioinform., 2004

2003
Modified Nonparametric Approaches to Detecting Differentially Expressed Genes in Replicated Microarray Experiments.
Bioinform., 2003

On the Use of Permutation in and the Performance of A Class of Nonparametric Methods to Detect Differential Gene Expression.
Bioinform., 2003

Linear regression and two-class classification with gene expression data.
Bioinform., 2003

2002
A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments.
Bioinform., 2002

1999
Shrinking classification trees for bootstrap aggregation.
Pattern Recognit. Lett., 1999


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