Our group focuses on the development and application of statistical methods and computational tools for high-dimensional "omics" data, arising from modern high-throughput technologies. Our current research interests include developing novel methods for integrating functional information in genetic association studies, meta-analysis for sequencing studies, and analysis of microbiome & metagenomic data.
07/27/2020 Our PSCAN paper has been accepted in Genome Biology. PSCAN is a protein-structure-guided scan method for testing gene-level associations and identifying risk variants on the protein space, available here.
05/09/2020 Lan's MTAR paper has been accepted in Nature Communications. Good job, Lan! MTAR is a method for multi-trait analysis of rare-variant association studies, available at: https://cran.r-project.org/web/packages/MTAR.
02/27/2020 Lan Luo won ENAR and ASA Distinguished Student Paper Awards. Congrats, Lan!