• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod: NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Data och IT
    2. Systemvetenskap och AI

    Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

    Algorithms and Software Tools

    AvHamid R Arabnia,Quoc Nam Tran

    Häftad, Engelska, 2015

    Del i serien Emerging Trends in Computer Science and Applied Computing

    1 278 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.



    • 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.

    Produktinformation

    • Utgivningsdatum:2015-08-11
    • Mått:191 x 235 x 38 mm
    • Vikt:1 380 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Emerging Trends in Computer Science and Applied Computing
    • Antal sidor:670
    • Förlag:Elsevier Science
    • ISBN:9780128025086

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Biologi inom Naturvetenskap och teknik

    Mer om författaren

    Hamid R. Arabnia is currently a Full Professor of Computer Science at University of Georgia where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications in Computational Science and Computational Intelligence (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of is Associate Editor of IEEE Transactions on Information Technology in Biomedicine . He has over 300 publications (journals, proceedings, editorship) in his area of research in addition he has edited two titles Emerging Trends in ICT Security (Elsevier 2013), and Advances in Computational Biology (Springer 2012). Professor Quoc-Nam Tran is currently Chair and Full Professor of Computer Science at University of South Dakota. He previously served as Chair and Full Professor of Computer Science at the University of Texas at Tyler. His previous positions include: Professor of Computer Science at Lamar University; Visiting Professor at Rice University; Scientist at Wolfram Research, Champaign-Urbana ; and Assistant Professor at University of Linz (Linz, Austria). Professor Tran's research interests include: computational methods and algorithmic foundations; theory of Groebner bases; bioinformatics and computational biology. He has published extensively in his areas of expertise. He has co-edited a number of books, including: "Software Tools and Algorithms for Biological Systems" (2011) and "Advances in Computational Biology" (2010) (Springer) Professor Tran has served on a number of editorial boards and has organized and chaired sessions for premier conferences such as the IEEE International Conference on Bioinformatics and Biomedicine Workshop.

    Recensioner i media

    "This is a valuable resource for students, clinicians, and researchers who wish to keep abreast of the emerging trends in computational biology, bioinformatics, and systems biology. Score: 76 - 3 Stars" --Doody's

    Innehållsförteckning

    • CHAPTER 1 Supervised Learning with the Artificial Neural Networks Algorithm for Modeling Immune Cell DifferentiationCHAPTER 2 Accelerating Techniques for Particle FilterImplementations on FPGACHAPTER 3 Biological Study on Pulsatile Flow of Herschel-Bulkley Fluid in Tapered Blood VesselsCHAPTER 4 Hierarchical k-Means: A Hybrid Clustering Algorithm and its Application to Study Gene Expression in Lung AdenocarcinomaCHAPTER 5 Molecular Classification of N-Aryloxazolidinone-5- carboxamides as Human Immunodeficiency Virus Protease InhibitorsCHAPTER 6 Review of Recent Protein-Protein Interaction TechniquesCHAPTER 7 Genetic Regulatory Networks: Focus on Attractors Of Their DynamicsCHAPTER 8 Biomechanical Evaluation for Bone Allograft in Treating the Femoral Head Necrosis: Thorough Debridement or Not?CHAPTER 9 Diels-Alderase Catalyzing the Cyclization Step In the Biosynthesis of Spinosyn A: Reality or Fantasy?CHAPTER 10 CLAST: Clustering Biological SequencesCHAPTER 11 Computational Platform for Integration and Analysis of MicroRNA AnnotationCHAPTER 12 Feature Selection and Analysis of Gene Expression Data Using Low-Dimensional Linear ProgrammingCHAPTER 13 The Big ORF Theory: Algorithmic, Computational, and Approximation Approaches to Open Reading Frames in Short- and Medium-Length dsDNA SequencesCHAPTER 14 Intentionally Linked Entities: A Detailed Look At a Database System for Health Care InformaticsCHAPTER 15 Region Growing in Nonpictorial Data for Organ-Specific Toxicity PredictionCHAPTER 16 Contribution of Noise Reduction Algorithms: Perception Versus Localization Simulation in the Case of Binaural Cochlear Implant (BCI) CodingCHAPTER 17 Lowering the Fall Rate of the Elderly From WheelchairsCHAPTER 18 Occipital and Left Temporal EEG Correlates of Phenomenal ConsciousnessCHAPTER 19 Chaotic Dynamical States in the Izhikevich Neuron ModelCHAPTER 20 Analogy, Mind, and LifeCHAPTER 21 Copy Number Networks to Guide Combinatorial Therapy of Cancer and Proliferative DisordersCHAPTER 22 DNA Double-Strand Break–Based Nonmonotonic LogicCHAPTER 23 An Updated Covariance Model for Rapid Annotation of Noncoding RNACHAPTER 24 SMIR: A Web Server to Predict Residues Involved in the Protein Folding CoreCHAPTER 25 Predicting Extinction of Biological Systems with CompetitionCHAPTER 26 Methodologies for the Diagnosis of the Main Behavioral Syndromes for Parkinson’s Disease with Bayesian Belief NetworksCHAPTER 27 Practical Considerations in Virtual Screening and Molecular DockingCHAPTER 28 Knowledge Discovery in Proteomic Mass Spectrometry DataCHAPTER 29 A Comparative Analysis of Read Mapping and Indel Calling Pipelines for Next-Generation Sequencing DataCHAPTER 30 Two-Stage Evolutionary Quantification of In Vivo MRS MetabolitesCHAPTER 31 Keratoconus Disease and Three-Dimensional Simulation of the Cornea Throughout the Process of Cross-Linking TreatmentCHAPTER 32 Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data AnalyticsCHAPTER 33 A Codon Frequency Obfuscation Heuristic for Raw Genomic Data Privacy