2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition: SVM Classifier for Remote Protein Homology Detection and Fold Recognition - Brossura

Hilmi Muda, Mohd

Brossura

ISBN 10: 3847321080 ISBN 13: 9783847321088

Casa editrice: LAP LAMBERT Academic Publishing, 2011

Riassunto

Advances in molecular biology in the past years have yielded an unprecedented amount of new protein sequences. The resulting sequences describe a protein in terms of the amino acids that constitute them without structural or functional protein information. Therefore, remote protein homology detection and fold recognition algorithms have become increasingly important to detect the structural homology in proteins where there are small or no similarity at all in the sequences compared. However, it is a challenging task to detect and classify this similarity with more biological meaning in the context of Structural Classification of Proteins (SCOP) database. This study presents a new computational framework based on two-layer SVM classifier that uses protein sequences as a primary source. The result shows that the Two-Layer SVM Classifier is capable to perform wellusing different versions of datasets and has outperformed existing methods, which implies the reliability of the framework.

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L'autore

Mohd Hilmi Muda was born in Kuala Terengganu, Malaysia. He graduated in Master in Science Computer within 2 semesters. He also holds Degree in Science Computer and Diploma in Science Computer from Universiti Teknologi Malaysia, Johor.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 3847321080
• ISBN 13: 9783847321088
• Rilegatura: Copertina flessibile
• Numero di pagine: 128
• Contatto del produttore: non disponibile
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