A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice.
Alex Zelter, Michael E. Riffle, Gennifer E. Merrihew, Batool Mutawe, Nicholas Shulman, Justin A. Sanders, William Stafford Noble, Danielle P. Johnson Erickson, Alec Morimoto, Benjamin A. Shaver, Taylor N Steins, Ning Cao, Eric C Ford, Paul A. Rudnick, Daniel Chelsky, , Michael J. MacCoss
The paper presents two large-scale proteomics datasets from mice exposed to varying X-ray doses and time points, enabling biomarker discovery and machine learning applications for radiation exposure assessment.
bioRxiv · May 22, 2026 · PreprintBiochemistry