@inproceedings{0f38277ea4e846199c558f41d1cb360d,
title = "Investigation of Average Mutual Information for Species Separation Using GSOM",
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.",
keywords = "GSOM, AMI, Species Separation, Prokaryotic Sequences",
author = "Chan, {Chon-Kit Kenneth} and Halgamuge, {Saman K.}",
year = "2009",
language = "English",
isbn = "978-3-642-10508-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer-Verlag London Ltd.",
pages = "42--49",
editor = "YH Lee and TH Kim and WC Fang and D Slezak",
booktitle = "FUTURE GENERATION INFORMATION TECHNOLOGY, PROCEEDINGS",
address = "Germany",
note = "1st International Conference on Future Generation Information Technology ; Conference date: 10-12-2009 Through 12-12-2009",
}