Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes
نویسندگان
چکیده
منابع مشابه
Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes
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 ...
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In this work a new method for clustering and building a topographic representation of a bacteria taxonomy is presented. The method is based on the analysis of stable parts of the genome, the so-called “housekeeping genes”. The proposed method generates topographic maps of the bacteria taxonomy, where relations among different type strains can be visually inspected and verified. Two well known D...
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ژورنال
عنوان ژورنال: Advances in Artificial Neural Systems
سال: 2011
ISSN: 1687-7594,1687-7608
DOI: 10.1155/2011/617427