Identification of single nucleotide genetic polymorphism sites using machine learning methods
Mikalai M. Yatskou, Elizabeth V. Smolyakova, Victor V. Skakun, Vasily V. Grinev
The paper compares classical and machine learning algorithms for identifying single nucleotide polymorphisms using simulated data, finding CART as the most effective method.