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Bio-kernel Self-organizing Map for HIV Drug Resistance Classification
Kernel self-organizing map has been recently studied by Fyfe and his colleagues [1]. 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 classificati...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122014/ http://dx.doi.org/10.1007/11539087_20 |
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author | Yang, Zheng Rong Young, Natasha |
author_facet | Yang, Zheng Rong Young, Natasha |
author_sort | Yang, Zheng Rong |
collection | PubMed |
description | Kernel self-organizing map has been recently studied by Fyfe and his colleagues [1]. 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 ... |
format | Online Article Text |
id | pubmed-7122014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71220142020-04-06 Bio-kernel Self-organizing Map for HIV Drug Resistance Classification Yang, Zheng Rong Young, Natasha Advances in Natural Computation Article Kernel self-organizing map has been recently studied by Fyfe and his colleagues [1]. 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 ... 2005 /pmc/articles/PMC7122014/ http://dx.doi.org/10.1007/11539087_20 Text en © Springer-Verlag Berlin Heidelberg 2005 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Yang, Zheng Rong Young, Natasha Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title_full | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title_fullStr | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title_full_unstemmed | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title_short | Bio-kernel Self-organizing Map for HIV Drug Resistance Classification |
title_sort | bio-kernel self-organizing map for hiv drug resistance classification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122014/ http://dx.doi.org/10.1007/11539087_20 |
work_keys_str_mv | AT yangzhengrong biokernelselforganizingmapforhivdrugresistanceclassification AT youngnatasha biokernelselforganizingmapforhivdrugresistanceclassification |