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Springer Handbook of Bio-/Neuroinformatics

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Table of Contents

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    Book Overview
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    Chapter 1 Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics
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    Chapter 2 Information Processing at the Cellular Level: Beyond the Dogma
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    Chapter 3 Dielectrophoresis: Integrated Approaches for Understanding the Cell
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    Chapter 4 Information Processing at the Genomics Level
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    Chapter 5 Understanding Information Processes at the Proteomics Level
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    Chapter 6 Pattern Formation and Animal Morphogenesis
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    Chapter 7 Understanding Evolving Bacterial Colonies
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    Chapter 8 Exploring the Interactions and Structural Organization of Genomes
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    Chapter 9 Detecting MicroRNA Signatures Using Gene Expression Analysis
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    Chapter 10 Bioinformatic Methods to Discover Cis-regulatory Elements in mRNAs
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    Chapter 11 Protein Modeling and Structural Prediction
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    Chapter 12 Machine Learning Methodology in Bioinformatics
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    Chapter 13 Case-Based Reasoning for Biomedical Informatics and Medicine
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    Chapter 14 Analysis of Multiple DNA Microarray Datasets
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    Chapter 15 Fuzzy Logic and Rule-Based Methods in Bioinformatics
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    Chapter 16 Phylogenetic Cladograms: Tools for Analyzing Biomedical Data
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    Chapter 17 Protein Folding Recognition
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    Chapter 18 Kernel Methods and Applications in Bioinformatics
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    Chapter 19 Path Finding in Biological Networks
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    Chapter 20 Inferring Transcription Networks from Data
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    Chapter 21 Computational Methods for Analysis of Transcriptional Regulation
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    Chapter 22 Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution
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    Chapter 23 Structural Pattern Discovery in Protein–Protein Interaction Networks
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    Chapter 24 Molecular Networks – Representation and Analysis
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    Chapter 25 Whole-Exome Sequencing Data – Identifying Somatic Mutations
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    Chapter 26 Biological Databases
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    Chapter 27 Ontologies for Bioinformatics
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    Chapter 28 Statistical Signal Processing for Cancer Stem Cell Formation
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    Chapter 29 Epigenetics
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    Chapter 30 Dynamics of Autoimmune Diseases
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    Chapter 31 Nutrigenomics
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    Chapter 32 Bioinformatics and Nanotechnologies: Nanomedicine
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    Chapter 33 Personalized Information Modeling for Personalized Medicine
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    Chapter 34 Health Informatics
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    Chapter 35 Ecological Informatics for the Prediction and Management of Invasive Species
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    Chapter 36 Information Processing in Synapses
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    Chapter 37 Computational Modeling with Spiking Neural Networks
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    Chapter 38 Statistical Methods for fMRI Activation and Effective Connectivity Studies
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    Chapter 39 Neural Circuit Models and Neuropathological Oscillations
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    Chapter 40 Understanding the Brain via fMRI Classification
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    Chapter 41 Nonlinear Adaptive Filtering in Kernel Spaces
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    Chapter 42 Recurrence Plots and the Analysis of Multiple Spike Trains
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    Chapter 43 Adaptive Multiscale Time-Frequency Analysis
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    Chapter 44 Modeling Vision with the Neocognitron
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    Chapter 45 Information Processing in the Gustatory System
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    Chapter 46 EEG Signal Processing for Brain–Computer Interfaces
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    Chapter 47 Brain-like Information Processing for Spatio-Temporal Pattern Recognition
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    Chapter 48 Neurocomputational Models of Natural Language
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    Chapter 49 Ontologies and Machine Learning Systems
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    Chapter 50 Integration of Large-Scale Neuroinformatics – The INCF
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    Chapter 51 Alzheimerʼs Disease
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    Chapter 52 Integrating Data for Modeling Biological Complexity
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    Chapter 53 A Machine Learning Pipeline for Identification of Discriminant Pathways
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    Chapter 54 Computational Neurogenetic Modeling: Gene-Dependent Dynamics of Cortex and Idiopathic Epilepsy
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    Chapter 55 Information Methods for Predicting Risk and Outcome of Stroke
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    Chapter 56 sEMG Analysis for Recognition of Rehabilitation Actions
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    Chapter 57 Brain-Like Robotics
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    Chapter 58 Developmental Learning for User Activities
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    Chapter 59 Quantum and Biocomputing – Common Notions and Targets
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    Chapter 60 Brain, Gene, and Quantum Inspired Computational Intelligence
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    Chapter 61 The Brain and Creativity
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    Chapter 62 The Allen Brain Atlas
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