Pattern Recognition in Computational Molecular Biology Techniques and Approaches 1st Edition by Mourad Elloumi, Costas Iliopoulos, Jason Wang, Albert Zomaya 1118893689 9781118893685

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Product details:

ISBN 10: 1118893689 

ISBN 13: 9781118893685

Author: Mourad Elloumi, Costas Iliopoulos, Jason T. L. Wang, Albert Y. Zomaya

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Table of contents:

Part 1: Pattern Recognition in Sequences
Chapter 1: Combinatorial Haplotyping Problems
Chapter 2: Algorithmic Perspectives of the String Barcoding Problems
Chapter 3: Alignment-Free Measures for Whole-Genome Comparison
Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment
Chapter 5: Global Sequence Alignment with a Bounded Number of Gaps

Part 2: Pattern Recognition in Secondary Structures
Chapter 6: A Short Review on Protein Secondary Structure Prediction Methods
Chapter 7: A Generic Approach to Biological Sequence Segmentation Problems
Chapter 8: Structural Motif Identification and Retrieval: A Geometrical Approach
Chapter 9: Genome-Wide Search for Pseudoknotted Noncoding RNA: A Comparative Study

Part 3: Pattern Recognition in Tertiary Structures
Chapter 10: Motif Discovery in Protein 3D-Structures using Graph Mining Techniques
Chapter 11: Fuzzy and Uncertain Learning Techniques for the Analysis and Prediction of Protein Tertiary Structures
Chapter 12: Protein Inter-Domain Linker Prediction
Chapter 13: Prediction of Proline Cis–Trans Isomerization

Part 4: Pattern Recognition in Quaternary Structures
Chapter 14: Prediction of Protein Quaternary Structures
Chapter 15: Comparison of Protein Quaternary Structures by Graph Approaches
Chapter 16: Structural Domains in Prediction of Biological Protein–Protein Interactions

Part 5: Pattern Recognition in Microarrays
Chapter 17: Content-Based Retrieval of Microarray Experiments
Chapter 18: Extraction of Differentially Expressed Genes in Microarray Data
Chapter 19: Clustering and Classification Techniques for Gene Expression Profile Pattern Analysis
Chapter 20: Mining Informative Patterns in Microarray Data
Chapter 21: Arrow Plot and Correspondence Analysis Maps for Visualizing the Effects of Background Correction and Normalization Methods on Microarray Data

Part 6: Pattern Recognition in Phylogenetic Trees
Chapter 22: Pattern Recognition in Phylogenetics: Trees and Networks
Chapter 23: Diverse Considerations for Successful Phylogenetic Tree Reconstruction
Chapter 24: Automated Plausibility Analysis of Large Phylogenies
Chapter 25: A New Fast Method for Detecting and Validating Horizontal Gene Transfer Events Using Phylogenetic Trees and Aggregation Functions

Part 7: Pattern Recognition in Biological Networks
Chapter 26: Computational Methods for Modeling Biological Interaction Networks
Chapter 27: Biological Network Inference at Multiple Scales: From Gene Regulation to Species Interactions
Chapter 28: Discovering Causal Patterns with Structural Equation Modeling
Chapter 29: Annotating Proteins with Incomplete Label Information

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Tags: Mourad Elloumi, Costas Iliopoulos, Jason Wang, Recognition