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Bio-kernel Self-organizing Map for HIV Drug Resistance Classification

机译:HIV耐药性分类的生物内核自组织图

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摘要

Kernel self-organizing map has been recently studied by Fyfe and his colleagues. This paper investigates the use of a novel bio-kernel function for the kernel self-organizing map. For verification, the application of the proposed new kernel self-organizing map to HIV drug resistance classification using mutation patterns in protease sequences is presented. The original self-organizing map together with the distributed encoding method was compared. It has been found that the use of the kernel self-organizing map with the novel bio-kernel function leads to better classification and faster convergence rate.
机译:Fyfe及其同事最近研究了内核自组织图。本文研究了一种用于内核自组织图的新型生物内核函数。为了验证,提出了使用蛋白酶序列中的突变模式将拟议的新内核自组织图应用于HIV耐药性分类的应用。比较了原始的自组织图和分布式编码方法。已经发现,将具有新生物核功能的核自组织图用于更好的分类和更快的收敛速度。

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