To enable early cancer detection, researchers have long sought to identify biochemical markers that discriminate people with early stage cancer from risk-matched controls. High throughput screening allows large collections of candidate biomarkers to be assessed for potential use as cancer biomarkers. Working with researchers from the University of Michigan Department of Surgery, CSCAR Director Kerby Shedden developed new screening statistics and visualization tools that help identify the most promising candidates for follow-up study, while excluding certain types of false positives that are peculiar to the assay system that was employed.
