University of Minnesota-Twin Cities · Mathematics & StatisticsPan Genomics Lab
Wei Pan · Minneapolis, Minnesota
Research Focus
Dr. Wei Pan's research lab at the University of Minnesota focuses on using advanced statistical methods, particularly machine learning, to understand the genetic factors behind Alzheimer's disease. By analyzing large datasets from genomic studies and integrating various types of biological data, the lab aims to identify genes and proteins that could play a role in the disease. Their work not only seeks to uncover causal relationships in Alzheimer's but also develops tools that other researchers can use in their studies.
Alzheimer's diseasemachine learninggenetic analysiscausal inferencedeep learningtranscriptome-wide association studiesgenomicsproteomicsneuroimagingepigenetics
Research Aims
5AIM 01Develop machine learning methods to analyze genetic data related to Alzheimer's disease.
AIM 02Integrate various biological datasets to identify causal genes and proteins associated with Alzheimer's.
AIM 03Create and disseminate software tools that implement new statistical methods for causal inference.
AIM 04Investigate non-linear relationships between gene expression and Alzheimer's disease.
AIM 05Facilitate the identification of modifiable risk factors for Alzheimer's through comprehensive data analysis.
Skills the Lab Values
Python programmingR programmingdeep learning techniquesmachine learning algorithmsstatistical modelingdata analysisgenomic data integrationgene expression analysisneuroimaging analysissoftware development
Output against the department
Publications326top 35% of dept.46th of 131
this lab
most publishedleast published
Citations15ktop 30% of dept.39th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.