Wei Pan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Gene Expression

Top Venues

Genetic epidemiology

This page only lists publications with an associated author ORCID identifier.

Publications

Rachel Zilinskas, Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. Biometrics 80 (1) (2024)
Rachel Zilinskas, Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. Biometrics 80 (1) (2024)
Hyun Jung Koo, Wei Pan
Are trait-associated genes clustered together in a gene network? Genetic epidemiology (2024)
Zhaotong Lin, Wei Pan
A robust cis-Mendelian randomization method with application to drug target discovery. Nature communications 15 (1) (2024)
Peiyao Wang, Zhaotong Lin, Haoran Xue, Wei Pan
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization. PLoS genetics 20 (4) (2024)
Zhaotong Lin, Wei Pan
A robust cis-Mendelian randomization method with application to drug target discovery. Nature communications 15 (1) (2024)
Zhaotong Lin, Wei Pan
A robust cis-Mendelian randomization method with application to drug target discovery. Nature communications 15 (1) (2024)
Peiyao Wang, Zhaotong Lin, Haoran Xue, Wei Pan
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization. PLoS genetics 20 (4) (2024)
Rachel Zilinskas, Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. Biometrics 80 (1) (2024)
Rachel Zilinskas, Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. Biometrics 80 (1) (2024)
Peiyao Wang, Zhaotong Lin, Haoran Xue, Wei Pan
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization. PLoS genetics 20 (4) (2024)
Peiyao Wang, Zhaotong Lin, Haoran Xue, Wei Pan
Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization. PLoS genetics 20 (4) (2024)
Ruoyu He, Jinwen Fu, Jingchen Ren, Wei Pan
Trait Imputation Enhances Nonlinear Genetic Prediction for Some Traits. Genetics (2024)
Jingchen Ren, Zhaotong Lin, Wei Pan
Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation. Human molecular genetics (2023)
Dipnil Chakraborty, Zhong Zhuang, Haoran Xue, Mark B Fiecas, Xiatong Shen, Wei Pan, null null
Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease. Genes 14 (3) (2023)
Ruoyu He, Mingyang Liu, Zhaotong Lin, Zhong Zhuang, Xiaotong Shen, Wei Pan
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies. Biostatistics (Oxford, England) (2023)
Dipnil Chakraborty, Zhong Zhuang, Haoran Xue, Mark B Fiecas, Xiatong Shen, Wei Pan, null null
Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease. Genes 14 (3) (2023)
Rachel Zilinskas, Chunlin Li, Xiaotong T Shen, Wei Pan, Tianzhong Yang
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics. bioRxiv : the preprint server for biology (2023)
Zhaotong Lin, Haoran Xue, Wei Pan
Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data. PLoS genetics 19 (5) (2023)
Jingchen Ren, Wei Pan
Statistical inference with large-scale trait imputation. Statistics in medicine (2023)
Dipnil Chakraborty, Zhong Zhuang, Haoran Xue, Mark B Fiecas, Xiatong Shen, Wei Pan, null null
Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease. Genes 14 (3) (2023)
Siyi Chen, Zhaotong Lin, Xiaotong Shen, Ling Li, Wei Pan
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data. Genetic epidemiology (2023)
Yuchen Yao, Dipnil Charkraborty, Lin Zhang, Xiaotong T Shen, null null, Wei Pan
Deep causal feature extraction and inference with neuroimaging genetic data. Statistics in medicine (2023)
Ruoyu He, Mingyang Liu, Zhaotong Lin, Zhong Zhuang, Xiaotong Shen, Wei Pan
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies. Biostatistics (Oxford, England) (2023)
Mykhaylo M Malakhov, Ben Dai, Xiaotong T Shen, Wei Pan
A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation. bioRxiv : the preprint server for biology (2023)
Haoran Xue, Wei Pan
Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data. PLoS genetics 18 (5) (2022)
Katherine A Knutson, Wei Pan
MATS: A novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits. Human molecular genetics (2022)
Ruoyu He, Haoran Xue, Wei Pan, null null
Statistical power of transcriptome-wide association studies. Genetic epidemiology 46 (8) (2022)
Zhaotong Lin, Haoran Xue, Mykhaylo M Malakhov, Katherine A Knutson, Wei Pan
Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies. Human molecular genetics 31 (14) (2022)
Charles Spanbauer, Wei Pan, null null
Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles. Genetic epidemiology (2022)
Mingyang Liu, Xiaotong T Shen, Wei Pan
Deep reinforcement learning for personalized treatment recommendation. Statistics in medicine 41 (20) (2022)
Zhaotong Lin, Isaac Pan, Wei Pan
A practical problem with Egger regression in Mendelian randomization. PLoS genetics 18 (5) (2022)
Yangqing Deng, Wei Pan
Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies. PLoS computational biology 17 (8) (2021)
Zhaotong Lin, Yangqing Deng, Wei Pan
Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model. PLoS genetics 17 (11) (2021)
Jack Pattee, Wei Pan
Penalized regression and model selection methods for polygenic scores on summary statistics. PLoS computational biology 16 (10) (2020)
Haoran Xue, Chong Wu, Wei Pan
Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS. Genetic epidemiology 44 (7) (2020)
Yangqing Deng, Yinqiu He, Gongjun Xu, Wei Pan
Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling. Biometrics (2020)
Haoran Xue, Wei Pan
Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data. PLoS genetics 16 (11) (2020)
Yangqing Deng, Wei Pan
A powerful and versatile colocalization test. PLoS computational biology 16 (4) (2020)
Lin Zhang, Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan
A random covariance model for bi-level graphical modeling with application to resting-state fMRI data. Biometrics (2020)
Mengli Xiao, Xiaotong Shen, Wei Pan
Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images. Genetic epidemiology 43 (3) (2019)
Mengli Xiao, Zhong Zhuang, Wei Pan
Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks. Genes 11 (1) (2019)
Haoran Xue, Wei Pan, null null
Some statistical consideration in transcriptome-wide association studies. Genetic epidemiology 44 (3) (2019)
Jack Pattee, Xiaowei Zhan, Guanghua Xiao, Wei Pan
Integrating germline and somatic genetics to identify genes associated with lung cancer. Genetic epidemiology 44 (3) (2019)
Tianzhong Yang, Junghi Kim, Chong Wu, Yiding Ma, Peng Wei, Wei Pan
An adaptive test for meta-analysis of rare variant association studies. Genetic epidemiology 44 (1) (2019)
Chong Wu, Wei Pan
A powerful fine-mapping method for transcriptome-wide association studies. Human genetics 139 (2) (2019)
Chong Wu, Wei Pan
Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophrenia. Genetic epidemiology 42 (3) (2018)
Chong Wu, Wei Pan
Integration of Enhancer-Promoter Interactions with GWAS Summary Results Identifies Novel Schizophrenia-Associated Genes and Pathways. Genetics 209 (3) (2018)
Zhiyuan Xu, Gongjun Xu, Wei Pan, null null
Adaptive testing for association between two random vectors in moderate to high dimensions. Genetic epidemiology 41 (7) (2017)