We have published a new approach to devise gene signatures to detect radiation exposure (human, murine), and to quantify levels of exposure (murine):
Zhao JZL, Mucaki EJ and Rogan PK. Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning. F1000Research 2018, 7:233 (doi: 10.12688/f1000research.14048.1)