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Chapter 1 - Supervised Learning with the Artificial Neural Networks Algorithm for Modeling Immune Cell Differentiation
Pages 1-18 - Book chapterAbstract only
Chapter 2 - Accelerating Techniques for Particle Filter Implementations on FPGA
Pages 19-37 - Book chapterAbstract only
Chapter 3 - Biological Study on Pulsatile Flow of Herschel-Bulkley Fluid in Tapered Blood Vessels
Pages 39-50 - Book chapterAbstract only
Chapter 4 - Hierarchical k-Means: A Hybrid Clustering Algorithm and Its Application to Study Gene Expression in Lung Adenocarcinoma
Pages 51-67 - Book chapterAbstract only
Chapter 5 - Molecular Classification of N-Aryloxazolidinone-5-carboxamides as Human Immunodeficiency Virus Protease Inhibitors
Pages 69-97 - Book chapterAbstract only
Chapter 6 - Review of Recent Protein-Protein Interaction Techniques
Pages 99-121 - Book chapterAbstract only
Chapter 7 - Genetic Regulatory Networks: Focus on Attractors of Their Dynamics
Pages 123-153 - Book chapterAbstract only
Chapter 8 - Biomechanical Evaluation for Bone Allograft in Treating the Femoral Head Necrosis: Thorough Debridement or not?
Pages 155-167 - Book chapterAbstract only
Chapter 9 - Diels-Alderase Catalyzing the Cyclization Step in the Biosynthesis of Spinosyn A: Reality or Fantasy?
Pages 169-201 - Book chapterAbstract only
Chapter 10 - CLAST: Clustering Biological Sequences
Pages 203-220 - Book chapterAbstract only
Chapter 11 - Computational Platform for Integration and Analysis of MicroRNA Annotation
Pages 221-233 - Book chapterAbstract only
Chapter 12 - Feature Selection and Analysis of Gene Expression Data Using Low-Dimensional Linear Programming
Pages 235-264 - Book chapterAbstract only
Chapter 13 - The Big ORF Theory: Algorithmic, Computational, and Approximation Approaches to Open Reading Frames in Short- and Medium-Length dsDNA Sequences
Pages 265-274 - Book chapterAbstract only
Chapter 14 - Intentionally Linked Entities: A Detailed Look at a Database System for Health Care Informatics
Pages 275-294 - Book chapterAbstract only
Chapter 15 - Region Growing in Nonpictorial Data for Organ-Specific Toxicity Prediction
Pages 295-306 - Book chapterAbstract only
Chapter 16 - Contribution of Noise Reduction Algorithms: Perception Versus Localization Simulation in the Case of Binaural Cochlear Implant (BCI) Coding
Pages 307-324 - Book chapterAbstract only
Chapter 17 - Lowering the Fall Rate of the Elderly from Wheelchairs
Pages 325-334 - Book chapterAbstract only
Chapter 18 - Occipital and Left Temporal EEG Correlates of Phenomenal Consciousness
Pages 335-354 - Book chapterAbstract only
Chapter 19 - Chaotic Dynamical States in the Izhikevich Neuron Model
Pages 355-375 - Book chapterAbstract only
Chapter 20 - Analogy, Mind, and Life
Pages 377-388 - Book chapterAbstract only
Chapter 21 - Copy Number Networks to Guide Combinatorial Therapy of Cancer and Proliferative Disorders
Pages 389-407 - Book chapterAbstract only
Chapter 22 - DNA Double-Strand Break–Based Nonmonotonic Logic
Pages 409-427 - Book chapterAbstract only
Chapter 23 - An Updated Covariance Model for Rapid Annotation of Noncoding RNA
Pages 429-435 - Book chapterAbstract only
Chapter 24 - SMIR: A Web Server to Predict Residues Involved in the Protein Folding Core
Pages 437-454 - Book chapterAbstract only
Chapter 25 - Predicting Extinction of Biological Systems with Competition
Pages 455-466 - Book chapterAbstract only
Chapter 26 - Methodologies for the Diagnosis of the Main Behavioral Syndromes for Parkinson’s Disease with Bayesian Belief Networks
Pages 467-485 - Book chapterAbstract only
Chapter 27 - Practical Considerations in Virtual Screening and Molecular Docking
Pages 487-502 - Book chapterAbstract only
Chapter 28 - Knowledge Discovery in Proteomic Mass Spectrometry Data
Pages 503-519 - Book chapterAbstract only
Chapter 29 - A Comparative Analysis of Read Mapping and Indel Calling Pipelines for Next-Generation Sequencing Data
Pages 521-535 - Book chapterAbstract only
Chapter 30 - Two-Stage Evolutionary Quantification of In Vivo MRS Metabolites
Pages 537-560 - Book chapterAbstract only
Chapter 31 - Keratoconus Disease and Three-Dimensional Simulation of the Cornea throughout the Process of Cross-Linking Treatment
Pages 561-575 - Book chapterAbstract only
Chapter 32 - Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data Analytics
Pages 577-602 - Book chapterAbstract only
Chapter 33 - A Codon Frequency Obfuscation Heuristic for Raw Genomic Data Privacy
Pages 603-619 - Book chapterNo access
Index
Pages 621-633
About the book
Description
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques.
• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets.
• Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis.
• Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research.
• Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques.
• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets.
• Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis.
• Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research.
• Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.
Key Features
- Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems.
- Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications.
- Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.
- Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems.
- Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications.
- Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.
Details
ISBN
978-0-12-802508-6
Language
English
Published
2015
Copyright
Copyright © 2015 Elsevier Inc. All rights reserved.
Imprint
Morgan Kaufmann