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.
03/15/2023 Our PhyloMed paper has been accepted in Genome Biology. Good job, Kirin! PhyloMed is a method for microbiome mediation analysis. The method is implemented in the miMediation R package.
02/22/2023 Our MTAGEI paper has been accepted in Biostatistics. MTAGEI is a method for multi-trait analysis of gene-by-environment interactions in large-scale genetic studies. The R package is here.
10/05/2022 Our team won Task 1 of the Preterm Birth Prediction - Microbiome DREAM Challenge. Congrats to Jifan (PI: Guanhua Chen) and Zhoujingpeng!
09/01/2021 We received funds from NSF (PI: Guanhua Chen) to develop methods for microbiome data.
08/20/2020 We received an R01 from NIGMS to develop methods for microbiome data. Looking forward to the fun research ahead of us!
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!