November 9, 2020 — Advances in high throughput measurement technologies (omics data) have made it possible, and increasingly affordable, to generate high complexity, high volume data for oncology research. QuartzBio’s Renee Deehan poster, “Reverse Causal Inferencing on Lung Adenocarcinoma Patients Reveals a Stem Cell–Like Molecular Subtype Associated with Pack-Year History,” is an insightful look into an exciting area of opportunity.
Authors: Renée Deehan, PhD | VP, Computational Research, Sergey Korkhov, Alexis Foroozan, Scott Marshall, PhD, Nimisha Schneider
