Investigation of Average Mutual Information for Species Separation Using GSOM

Chon-Kit Kenneth Chan, Saman K. Halgamuge

Research output: Chapter in Book/Conference paperConference paper

Abstract

The average mutual information (AMI) has been claimed to be a strong genome signature in some literatures. The range of k values is an important parameter in AMI but no standard range of k value is yet proposed. We introduce a new growth threshold (GT) equation in Growing Self-Organising Maps (GSOM) to identify the best k range for clustering prokaryotic sequence fragments of 10 kb. However, the results using the best k range of AMI were still worse than our previously published results using oligonucleotide frequencies. These experiments showed that the newly proposed GT equation makes GSOM able to efficiently and effectively analyse different data features for the same data.

Original languageEnglish
Title of host publicationFUTURE GENERATION INFORMATION TECHNOLOGY, PROCEEDINGS
EditorsYH Lee, TH Kim, WC Fang, D Slezak
PublisherSpringer-Verlag London Ltd.
Pages42-49
Number of pages8
ISBN (Print)978-3-642-10508-1
Publication statusPublished - 2009
Externally publishedYes
Event1st International Conference on Future Generation Information Technology - Jeju Isl
Duration: 10 Dec 200912 Dec 2009

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume5899
ISSN (Print)0302-9743

Conference

Conference1st International Conference on Future Generation Information Technology
CityJeju Isl
Period10/12/0912/12/09

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