A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi
Rodrigo Torres, Ursula E Lang, Miroslav Hejna, Samuel J Shelton, Nancy M Joseph, Alan Hunter Shain, Iwei Yeh, Maria L Wei, Michael C. Oldham, Boris C Bastian, Robert L Judson-Torres
This study develops a machine learning classifier using microRNA ratios to distinguish melanomas from nevi, achieving 83% sensitivity and 71-83% specificity across multiple datasets.
bioRxiv · Dec 27, 2018 · PreprintCancer Biology