Book 2014

Springer Handbook of Bio-/Neuroinformatics

Editors:

ISBN: 978-3-642-30573-3 (Print) 978-3-642-30574-0 (Online)

Table of contents (62 chapters)

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  1. Front Matter

    Pages I-LVII

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    Chapter

    Pages 1-13

    Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics

  3. Understanding Information Processes in Biological Systems

    1. Front Matter

      Pages 15-15

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      Chapter

      Pages 17-27

      Information Processing at the Cellular Level: Beyond the Dogma

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      Chapter

      Pages 29-42

      Dielectrophoresis: Integrated Approaches for Understanding the Cell

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      Chapter

      Pages 43-55

      Information Processing at the Genomics Level

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      Chapter

      Pages 57-72

      Understanding Information Processes at the Proteomics Level

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      Chapter

      Pages 73-92

      Pattern Formation and Animal Morphogenesis

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      Chapter

      Pages 93-112

      Understanding Evolving Bacterial Colonies

  4. Molecular Biology, Genome and Proteome Informatics

    1. Front Matter

      Pages 113-113

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      Chapter

      Pages 115-128

      Exploring the Interactions and Structural Organization of Genomes

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      Chapter

      Pages 129-150

      Detecting MicroRNA Signatures Using Gene Expression Analysis

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      Chapter

      Pages 151-169

      Bioinformatic Methods to Discover Cis-regulatory Elements in mRNAs

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      Chapter

      Pages 171-182

      Protein Modeling and Structural Prediction

  5. Machine Learning Methods for the Analysis, Modeling and Knowledge Discovery from Bioinformatics Data

    1. Front Matter

      Pages 183-183

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      Chapter

      Pages 185-206

      Machine Learning Methodology in Bioinformatics

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      Chapter

      Pages 207-221

      Case-Based Reasoning for Biomedical Informatics and Medicine

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      Chapter

      Pages 223-234

      Analysis of Multiple DNA Microarray Datasets

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      Chapter

      Pages 235-245

      Fuzzy Logic and Rule-Based Methods in Bioinformatics

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      Chapter

      Pages 247-263

      Phylogenetic Cladograms: Tools for Analyzing Biomedical Data

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      Chapter

      Pages 265-273

      Protein Folding Recognition

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      Chapter

      Pages 275-285

      Kernel Methods and Applications in Bioinformatics

  6. Modeling Regulatory Networks: The Systems Biology Approach

    1. Front Matter

      Pages 287-287

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      Chapter

      Pages 289-309

      Path Finding in Biological Networks

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      Chapter

      Pages 311-326

      Inferring Transcription Networks from Data

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