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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/8199

Title: Embedded System of DNA Exon Predictor using Hidden Markov Model
Authors: Habibi Husain, Arifin
Ahmad Nasir, Che Rosli
R. Badishah, Ahmad, Assoc. Prof. Dr.
Suhartati, Agoos, Dr. Ir
Ferrianto, Gazali, M. Sc., Ir.
Endang Djuana, ST. M. Eng.
Md. Mostadjur, Rahman
Safarin, Samsudin
Keywords: Hidden Markov Model (HMM);Single Board Computer (SBC);Embedded system;UniMAP -- Research and development;UniMAP -- Exhibition;National Research and Innovation Competition 2010;NRIC 2010
Issue Date: 26-May-2010
Publisher: Universit Sains Malaysia
Series/Report no.: National Research and Innovation Competition (NRIC) 2010
Abstract: Philosophers have been trying to understand in any branches of Artificial Intelligence since thousand years ago. Al in Bioscience was born combined with Bioinformatic and produces many kinds of research areas especially in computational problem. Hidden Markov Model is a powerful statistical tool for describing an event within hidden states (unknown condition), such as predictor for exon section at Deoxyribonucleic Acid (DNA) sequence. Number of states, transition probabilities and emission distributional oribabilities are 3 major elements of HMM. Hidden Markov Model used Forward-Backward algorithm and Viterbi algorithm for implementing the HMM basic problems and solutions, includes evaluation, training and testing. Whereas, all this functions has been planted in Single Board Computer as the embedded platform. The reason of choosing SBC was influenced by Open Source Software (OSS) development area.
Description: National Research and Innovation Competition (NRIC) 2010, 26th - 28th May 2010 was held at Dewan Utama Pelajar, USM Main Campus, Penang, Malaysia. Organized by the Student Representative Council of Universiti Sains Malaysia.
URI: http://hdl.handle.net/123456789/8199
Appears in Collections:R. Badlishah Ahmad, Prof. Dr.
Universiti Malaysia Perlis

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