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Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes
Joint Authors
Urso, Alfonso
La Rosa, Massimo
Rizzo, Riccardo
Source
Advances in Artificial Neural Systems
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The Self-Organizing Map (SOM) algorithm is widely used for building topographic maps of data represented in a vectorial space, but it does not operate with dissimilarity data.
Soft Topographic Map (STM) algorithm is an extension of SOM to arbitrary distance measures, and it creates a map using a set of units, organized in a rectangular lattice, defining data neighbourhood relationships.
In the last years, a new standard for identifying bacteria using genotypic information began to be developed.
In this new approach, phylogenetic relationships of bacteria could be determined by comparing a stable part of the bacteria genetic code, the so-called “housekeeping genes.” The goal of this work is to build a topographic representation of bacteria clusters, by means of self-organizing maps, starting from genotypic features regarding housekeeping genes.
American Psychological Association (APA)
La Rosa, Massimo& Rizzo, Riccardo& Urso, Alfonso. 2011. Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. Advances in Artificial Neural Systems،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-485492
Modern Language Association (MLA)
La Rosa, Massimo…[et al.]. Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. Advances in Artificial Neural Systems No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-485492
American Medical Association (AMA)
La Rosa, Massimo& Rizzo, Riccardo& Urso, Alfonso. Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. Advances in Artificial Neural Systems. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-485492
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485492