Wei Chen

Wei Chen

Professor of Pediatrics

University of Pittsburgh

Principal Investigator

My lab focuses on developing statistical and computational methods for the analysis of large-scale biomedical data and applying them to study complex diseases. Collaborating with our colleagues, we use cutting-edge technologies including DNA-seq, RNA-seq, methylation, ATAC-seq and single cell sequencing to study human diseases such as childhood asthma and age-related macular degeneration. Chen lab welcomes collaborators and trainees to move science forward. Our lab is generously supported by National Institute of Health, National Science Foundation, University of Pittsburgh and UPMC.

Recent News

  • 7/2021 Wei Chen was promoted to full professor
  • 4/2021 Xinjun Wang won 2021 Outstanding Graduate Student Researcher Award
  • 4/2021 Xinjun Wang received Biostatistics Doctoral Award in the Annual GSPH Dean’s Day
  • 3/2021 Xinjun Wang was honored with the Student of the Year Award by the American Statistical Association (ASA) Pittsburgh Chapter
  • 3/2021 Wei Chen joined the editorial board of Genome Biology

more news

Recent Publications

  • Xin H, Lian Q, Jiang Y, Luo J, Wang X, Erb C, Xu Z, Zhang X, Heidrich-O’Hare E, Yan Q, Duerr RH, Chen K, Chen W. GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencing. Genome Biol. 2020 Jul 30;21(1):188.

  • Wang X, Sun Z, Zhang Y, Xu Z, Xin H, Huang H, Duerr RH, Chen K, Ding Y, Chen W. BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data. Nucleic Acids Res. 2020 Jun 19;48(11):5814-5824.

  • Kim S, Forno E, Yan Q, Jiang Y, Zhang R, Boutaoui N, Acosta-Pérez E, Canino G, Chen W, Celedón JC. SNPs identified by GWAS affect asthma risk through DNA methylation and expression of cis-genes in airway epithelium. Eur Respir J. 2020 Apr;55(4).

  • Yan Q, Weeks DE, Xin H, Swaroop A, Chew EY, Huang H, Ding Y, Chen W. Deep-learning-based Prediction of Late Age-Related Macular Degeneration Progression. Nat Mach Intell. 2020 Feb;2(2):141-150.

  • Sun Z, Chen L, Xin H, Jiang Y, Huang Q, Cillo AR, Tabib T, Kolls JK, Bruno TC, Lafyatis R, Vignali DAA, Chen K, Ding Y, Hu M, Chen W. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies. Nat Commun. 2019 Apr 9;10(1):1649.

more publications

Contact