A reliable method for HIV-1 protease cleavage site prediction

被引：10

作者：

Nanni, L ^{[1
]}

Lumini, A ^{[1
]}

机构：

[1] Univ Bologna, DEIS, IEIIT, CNR, I-40136 Bologna, Italy

来源：

NEUROCOMPUTING | 2006年 / 69卷 / 7-9期

关键词：

HIV-1; protease; support vector machine; fusion of classifiers;

D O I：

10.1016/j.neucom.2005.09.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：838 / 841

页数：4

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