A novel algorithm for adaptive and neutral evolutionary patterns associated with HIV drug resistance

被引：0
|
作者：
Al Mazari, A. [1 ]
Zomaya, A. Y. [1 ]
Charleston, M. [1 ]
Garsia, R. J. [2 ]
机构：
[1] Univ Sydney, ANRG, Sch Informat Technol, Sydney, NSW 2006, Australia
[2] Univ Sydney, RPAH, Dept Med, Sydney, NSW 2006, Australia
来源：
2007 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2 | 2007年
关键词：
D O I：
10.1109/AICCSA.2007.370896
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents the development and application of a novel algorithm for the detection and classification of the adaptive and neutral evolutionary patterns associated with HIV drug resistance. Here, the Bayesian theorem will be used to predict the prevalence of an evolutionary pattern over a population to determine the class of its behaviour, whether it arose predominantly from neutral evolution, positive selection or negative selection. As an illustration, we will explain the algorithmic procedure in an application to real data, focusing on two- and three-mutation patterns that confer resistance to a drug agent.
引用
收藏
页码：285 / +
页数：2
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