Andrew R. Ghazi

scDiagnostics assesses cell type annotations in single-cell transcriptomics data to detect misleading or conflicting labels that affect downstream analysis.

Anpan quantifies strain-level associations in microbiomes, identifying genetic elements and phylogenetic effects linked to colorectal cancer, with improved accuracy over existing methods.

This paper introduces HAllA, a method for discovering associations in multi-omic datasets, showing it outperforms existing approaches and identifies new biological relationships.

The paper develops a Bayesian framework for analyzing NGS functionalization screens and introduces the malacoda R package to improve variant function analysis.

The paper identifies functional variants regulating CD36 expression using MPRA and confirms their impact on platelet function and cardiovascular disease risk.