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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition: SVM Classifier for Remote Protein Homology Detection and Fold Recognition - Softcover
Synopsis
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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About the Author
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.
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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition
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LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847321080
ISBN 13: 9783847321088
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 128 pp. Englisch. Seller Inventory # 9783847321088
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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847321080
ISBN 13: 9783847321088
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hilmi Muda MohdMohd 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 . Seller Inventory # 5509886
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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition
Published by
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847321080
ISBN 13: 9783847321088
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783847321088
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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition : SVM Classifier for Remote Protein Homology Detection and Fold Recognition
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847321080
ISBN 13: 9783847321088
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783847321088
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2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition | SVM Classifier for Remote Protein Homology Detection and Fold Recognition
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847321080
ISBN 13: 9783847321088
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. 2 Layer SVM Classifier for Remote Protein Homology & Fold Recognition | SVM Classifier for Remote Protein Homology Detection and Fold Recognition | Mohd Hilmi Muda | Taschenbuch | 128 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847321088 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106676697