Clustering of Expressed Sequence Tag (EST) with Markov models and self-organizing maps: An exploratory study

Citation

Ng, Keng-Hoong and Phon-Amnuaisuk, Somnuk and Ho, Chin-Kuan (2008) Clustering of Expressed Sequence Tag (EST) with Markov models and self-organizing maps: An exploratory study. In: International Symposium on Information Technology, 2008. ITSim 2008. IEEE, pp. 1-6. ISBN E-ISBN: 978-1-4244-2328-6, Print ISBN: 978-1-4244-2327-9

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Abstract

Expressed Sequence Tag (EST) plays an important role in discovering the full length of a gene. Therefore clustering of ESTs remains an interesting area for further exploration. We investigate several available clustering algorithms, and then we propose and evaluate an unsuperivsed clustering method that uses Markov models and Self-organizing maps. The initial evaluation of the method gives satisfactory result, where its clustering accuracy is up to 80.08%.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Nov 2013 06:29
Last Modified: 13 Nov 2013 06:29
URII: http://shdl.mmu.edu.my/id/eprint/4402

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