Pattern Recognition in Bioinformatics

Marco Loog

ISBN 10: 3642248543 / ISBN 13: 9783642248542

Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011

About this Item

This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.

Seller Inventory # LU-9783642248542

Bibliographic Details

• Title: Pattern Recognition in Bioinformatics
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
• Publication Date: 2011
• Language: English
• ISBN 10: 3642248543
• ISBN 13: 9783642248542
• Binding: Paperback
• Edition: 2011 ed.
• Condition: New
• Dimensions: 15.49W x 2.08H x 23.5D centimeters 15.49 centimeters width by 2.08 centimeters height by 23.5 centimeters depth
• Weight: 535 grams

About this title

Synopsis

This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.