Imran Razzak

The paper examines diet-oral microbiome associations using metagenomic data from 5,824 participants, finding shared microbial signatures across dietary patterns.

This study characterizes the oral microbiome across 9,431 participants and identifies associations with metabolic health, finding specific microbial features linked to metabolic traits and disease classification.

GatorSC improves single-cell transcriptomic analysis by integrating multi-scale cell and gene graphs with a Mixture-of-Experts fusion framework, outperforming existing methods in clustering, imputation, and annotation.