Recently, several works have approached the HIV-1 protease specificity problem by applying techniques from machine learning. In this work, an encoding scheme based on the BLOSUM50 matrix is investigated. We show that combining a linear discriminant classifier and radial basis function Support Vector Machine we obtain performance higher than previously published in the literature.
A reliable method for HIV-1 Protease Cleavage Site Prediction
NANNI, LORIS;LUMINI, ALESSANDRA
2006
Abstract
Recently, several works have approached the HIV-1 protease specificity problem by applying techniques from machine learning. In this work, an encoding scheme based on the BLOSUM50 matrix is investigated. We show that combining a linear discriminant classifier and radial basis function Support Vector Machine we obtain performance higher than previously published in the literature.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
