Reginald L. McGee

The paper introduces a method to detect differential correlations between protein pairs across subpopulations in AML samples, revealing nonlinear relationships in cytometry data.

The paper shows that pooled correlations in transcriptomic data often reverse sign when analyzed within specific contexts, highlighting the need for context-aware reporting of correlations.

WayFindR converts pathway data into graph structures to analyze feedback loops, revealing their underrepresentation in curated databases.

This study evaluates 16 dimensionality reduction methods for CyTOF, scRNA-seq, and CITE-seq data, focusing on their ability to preserve pairwise distances and local neighborhoods.

The paper applies topological data analysis to clinical data from CLL patients to identify complex structures like loops and voids, revealing prognostically important factors.