BioinformaticsJournal of Personalized MedicinePeer-reviewed
Telomere length and chromosomal instability for predicting individual radiosensitivity and risk via machine learning
Jared J. Luxton, Miles J. McKenna, Aidan M. Lewis…·Susan M. Bailey
The paper uses machine learning to predict individual radiosensitivity and risk based on telomere length and chromosomal instability data from prostate cancer patients undergoing radiotherapy.
21 citations