Machine Learning in Bioinformatics: An Approach to Protein Sequence Analysis - Couverture souple

Qazi, Wajahat; Ahmed, Khalil

 
9783639253726: Machine Learning in Bioinformatics: An Approach to Protein Sequence Analysis
Couverture souple
ISBN 10 : 3639253728 ISBN 13 : 9783639253726
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Machine Learning in Bioinformatics: Analysis of protein sequence in Bioinformatics has emerged as a key area for the application of machine learning methods. Such tasks often require the development of new algorithms and their applications. Protein sequence data is typically of very high dimensions and complex. The designing of machine learning algorithms requires a systematic approach to design and understand the underlying problem. This book provides a comprehensive coverage to explain the application of machine learning techniques in bioinformatics. It provides introductory chapters on machine learning and molecular biology for cross discipline audience. This book follows a practical approach by first defining a problem and hypothesis associated to protein translational modification. It provides an extensive review of the existing methods and describes the development and implementation of an algorithm called MAPRes. The application, evaluation and testing of the algorithm is also discussed in the detail. This book will be suitable for researchers and students engaged with machine learning and bioinformatics.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Machine Learning in Bioinformatics: Analysis of protein sequence in Bioinformatics has emerged as a key area for the application of machine learning methods. Such tasks often require the development of new algorithms and their applications. Protein sequence data is typically of very high dimensions and complex. The designing of machine learning algorithms requires a systematic approach to design and understand the underlying problem. This book provides a comprehensive coverage to explain the application of machine learning techniques in bioinformatics. It provides introductory chapters on machine learning and molecular biology for cross discipline audience. This book follows a practical approach by first defining a problem and hypothesis associated to protein translational modification. It provides an extensive review of the existing methods and describes the development and implementation of an algorithm called MAPRes. The application, evaluation and testing of the algorithm is also discussed in the detail. This book will be suitable for researchers and students engaged with machine learning and bioinformatics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639253728
ISBN 13 
9783639253726
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
non disponible