Investigation of average mutual information for species separation using GSOM

Chon-Kit Kenneth Chan and Saman Halgamuge (2009). Investigation of average mutual information for species separation using GSOM. In: Young-Hoon Lee, Tai-Hoon Kim, Wai-Chi Fang and Dominik Ślęzak, FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology. Future Generation Information Technology, Jeju Island, Korea, (42-49). 10-12 December 2009. doi:10.1007/978-3-642-10509-8_6


Author Chon-Kit Kenneth Chan
Saman Halgamuge
Title of paper Investigation of average mutual information for species separation using GSOM
Conference name Future Generation Information Technology
Conference location Jeju Island, Korea
Conference dates 10-12 December 2009
Proceedings title FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg Germany
Publisher Springer-Verlag
Publication Year 2009
Sub-type Fully published paper
DOI 10.1007/978-3-642-10509-8_6
ISBN 3642105084
9783642105081
ISSN 0302-9743
Editor Young-Hoon Lee
Tai-Hoon Kim
Wai-Chi Fang
Dominik Ślęzak
Volume 5899
Start page 42
End page 49
Total pages 8
Language eng
Abstract/Summary 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.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Collection: School of Agriculture and Food Sciences
 
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Created: Tue, 22 Mar 2011, 23:13:42 EST by Dr Chon-Kit Kenneth Chan on behalf of School of Agriculture and Food Sciences