Identification of gene expression biomarkers for predicting radiation exposure.

ABSTRACT: A need for more accurate and reliable radiation dosimetry has become increasingly important due to the possibility of a large-scale radiation emergency resulting from terrorism or nuclear accidents. Although traditional approaches provide accurate measurements, such methods usually require tedious effort and at least two days to complete. Therefore, we provide a new method for rapid prediction of radiation exposure. Eleven microarray datasets were classified into two groups based on their radiation doses and utilized as the training samples. For the two groups, Student's t-tests and resampling tests were used to identify biomarkers, and their gene expression ratios were used to develop a prediction model. The performance of the model was evaluated in four independent datasets, and Ingenuit

SUBMITTER: Lu TP 

PROVIDER: S-EPMC4155333 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature