Clustering of Expressed Sequence Tag (EST) with Markov Models and Self-Organizing Maps: An Exploratory Study

Citation

Ng, Keng Hoong and Somnuk, Phon Amnuaisuk 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 , 26-29 AUG 2008 , Univ Kebangsaan, Fac Informat Sci & Technol, Kuala Lumpur, MALAYSIA.

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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 Se self-organizing maps. The initial evaluation of the method gives satisfactory result, where its clustering accuracy is up to 80.08%.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Sep 2011 07:51
Last Modified: 12 Apr 2023 08:18
URII: http://shdl.mmu.edu.my/id/eprint/2836

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