A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi
R. Torres, U. E. Lang, M. Hejna, S. J. Shelton, N. M. Joseph, A. H. Shain, I. Yeh, M. L. Wei, M. C. Oldham, B. C. Bastian, R. 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