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Pattern Recognition in Computational Molecular Biology : Techniques and Approaches /
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, th...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiley,
2015.
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| Edición: | 1st |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Elloumi, Mourad, |e author. | |
| 245 | 1 | 0 | |a Pattern Recognition in Computational Molecular Biology : |b Techniques and Approaches / |c Mourad Elloumi, Costas Iliopoulos, Jason T.L. Wang, Albert Y. Zomaya. |
| 250 | |a 1st | ||
| 264 | 1 | |b Wiley, |c 2015. | |
| 300 | |a 1 online resource (656 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 500 | |a Structural Motif Identification and Retrieval: A Geometrical Approach Virginio Cantoni, Marco Ferretti, Mirto Musci and Nahumi Nugrahaningsih 9. Genome-Wide Search for Pseudoknotted Non-coding RNAs: A Comparative Study Meghana Vasavada, Kevin Byron, Yang Song and Jason T.L. Wang PART 3: PATTERN RECOGNITION IN TERTIARY STRUCTURES 10. Motif Discovery in Protein 3D Structures by Using Graph Mining Techniques Wajdi Dhifli and Engelbert Mephu Nguifo 11. Fuzzy and Uncertain Learning Techniques for the Analysis and Prediction of Protein Tertiary Structures Chinua Umoja, Robert Harrison and XiaXia Yu 12. Protein Inter-Domain Linker Prediction Maad Shatnawi, Paul D. Yoo and Sami Muhaidat 13. Prediction of Proline Cis-Trans Isomerization Paul D. Yoo, Maad Shatnawi, Sami Muhaidat, Kamal Taha and Albert Y. | ||
| 500 | |a Zomaya PART 4: PATTERN RECOGNITION IN QUATERNARY STRUCTURES 14. Prediction of Protein Quaternary Structures Akbar Vaseghi, Maryam Faridounnia, Soheila Shrollahzade, Samad Jahandideh and Kuo-Chen Chou 15. Comparison of Protein Quaternary Structures by Graph Approaches Sheng-Lung Peng and Yu-Wei Tsay 16. Structural Domains in Prediction of Biological Protein-Protein Interactions Mina Maleki, Michael Hall and Luis Rueda PART 5: PATTERN RECOGNITION IN MICROARRAYS 17. Content-Based Retrieval of Microarray Experiments Hasan Ogul 18. Extraction and Classification of Differential Gene Selection in Microarray Data Tiratha Raj Singh1, Brigitte Vannier and Ahmed Moussa 19. | ||
| 500 | |a Clustering and Classification Techniques for Gene Expression Profiles Pattern Analysis Emanuel Weitschek, Giulia Fiscon, Valentina Fustaino, Giovanni Felici and Paola Bertolazzi 20. Mining Informative Patterns in Microarray Data Li Teng 21. Arrow Plot and Correspondence Analysis Maps for Visualizing the Effects of Background Correction and Normalization Methods on Microarray Data Carina Silva, Adelaide Freitas, Sara Roque and Lisete Sousa PART 6: PATTERN RECOGNITION IN PHYLOGENETIC TREES 22. Pattern Recognition in Phylogenetics: Trees and Networks David A. Morrison 23. Diverse Considerations for Successful Phylogenetic Tree Reconstruction: Impacts from Model Misspecification, Recombination, Homoplasy and Pattern Recognition Diego Mallo, Agustín Sánchez-Cobos and Miguel Arenas 24. | ||
| 500 | |a Automated Plausibility Analysis of Large Phylogenies David Dao, Tomas Flouri, and Alexandros Stamatakis 25. A New Fast Method For Detecting and Validating Horizontal Gene Transfer Events Using Phylogenetic Trees and Aggregation Functions Dunarel Badescu, Nadia Tahiri and Vladimir Makarenkov PART 7: PATTERN RECOGNITION IN BIOLOGICAL NETWORKS 26. Computational Methods for Modeling Biological Interaction Networks Christos Makris and Evangelos Theodoridis 27. Biological Network Inference at Multiple Scales: From Gene Regulation to Species Interactions Andrej Aderhold, V. Anne Smith and Dirk Husmeier 28. Discovering Causal Patterns with Structural Equation Modeling: Application to Toll-Like Receptor Signaling Pathway in Chronic Lymphocytic Leukemia Athina Tsanousa, Stavroula Ntoufa, Nikos Papakonstantinou, Kostas Stamatopoulos and Lefteris Angelis 29. | ||
| 500 | |a Annotating Proteins with Incomplete Label Information Guoxian Yu, Huzefa Rangwala and Carlotta Domeniconi. | ||
| 505 | 0 | |a Wiley Series; Title Page; Copyright; Table of Contents; List of Contributors; Preface; Part 1: Pattern Recognition in Sequences; Chapter 1: Combinatorial Haplotyping Problems; 1.1 Introduction; 1.2 Single Individual Haplotyping; 1.3 Population Haplotyping; References; Chapter 2: Algorithmic Perspectives of the String Barcoding Problems; 2.1 Introduction; 2.2 Summary of Algorithmic Complexity Results for Barcoding Problems; 2.3 Entropy-Based Information Content Technique for Designing Approximation Algorithms for String Barcoding Problems. | |
| 505 | 8 | |a 2.4 Techniques for Proving Inapproximability Results for String Barcoding Problems2.5 Heuristic Algorithms for String Barcoding Problems; 2.6 Conclusion; Acknowledgments; References; Chapter 3: Alignment-Free Measures for Whole-Genome Comparison; 3.1 Introduction; 3.2 Whole-Genome Sequence Analysis; 3.3 Underlying Approach; 3.4 Experimental Results; 3.5 Conclusion; Author's Contributions; 3.6 Acknowledgments; References; Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment; 4.1 Introduction; 4.2 Multiple Sequence Local Alignment; 4.3 Motif Finding Algorithms. | |
| 505 | 8 | |a 4.4 Time Complexity4.5 Case Studies; 4.6 Conclusion; References; Chapter 5: Global Sequence Alignment with a Bounded Number of Gaps; 5.1 Introduction; 5.2 Definitions and Notation; 5.3 Problem Definition; 5.4 Algorithms; 5.5 Conclusion; References; Part 2: Pattern Recognition in Secondary Structures; Chapter 6: A Short Review on Protein Secondary Structure Prediction Methods; 6.1 Introduction; 6.2 Representative Protein Secondary Structure Prediction Methods; 6.3 Evaluation of Protein Secondary Structure Prediction Methods; 6.4 Conclusion; Acknowledgments; References. | |
| 505 | 8 | |a Chapter 7: A Generic Approach to Biological Sequence Segmentation Problems: Application to Protein Secondary Structure Prediction7.1 Introduction; 7.2 Biological Sequence Segmentation; 7.3 MSVMpred; 7.4 Postprocessing with A Generative Model; 7.5 Dedication to Protein Secondary Structure Prediction; 7.6 Conclusions and Ongoing Research; Acknowledgments; References; Chapter 8: Structural Motif Identification and Retrieval: A Geometrical Approach; 8.1 Introduction; 8.2 A Few Basic Concepts; 8.3 State of The Art; 8.4 A Novel Geometrical Approach to Motif Retrieval; 8.5 Implementation Notes. | |
| 505 | 8 | |a 8.6 Conclusions and Future WorkAcknowledgment; References; Chapter 9: Genome-Wide Search for Pseudoknotted Noncoding RNA: A Comparative Study; 9.1 Introduction; 9.2 Background; 9.3 Methodology; 9.4 Results and Interpretation; 9.5 Conclusion; References; Part 3: Pattern Recognition in Tertiary Structures; Chapter 10: Motif Discovery in Protein 3D-Structures using Graph Mining Techniques; 10.1 Introduction; 10.2 From Protein 3D-Structures to Protein Graphs; 10.3 Graph Mining; 10.4 Subgraph Mining; 10.5 Frequent Subgraph Discovery; 10.6 Feature Selection; 10.7 Feature Selection for Subgraphs. | |
| 520 | |a 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. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Molecular biology |x Data processing. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 2 | |a Computational Biology | |
| 650 | 2 | |a Pattern Recognition, Automated | |
| 650 | 6 | |a Biologie moléculaire |x Informatique. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Electronics |x Digital. |2 bisacsh | |
| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Molecular biology |x Data processing |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 700 | 1 | |a Iliopoulos, Costas, |e author. | |
| 700 | 1 | |a Wang, Jason T. L., |e author. | |
| 700 | 1 | |a Zomaya, Albert Y., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Elloumi, Mourad. |t Pattern Recognition in Computational Molecular Biology : Techniques and Approaches. |d : Wiley, ©2015 |z 9781119078845 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4305722 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL4305722 | ||
| 938 | |a Recorded Books, LLC |b RECE |n rbeEB00665997 | ||
| 994 | |a 92 |b IZTAP | ||