Springer Handbook of Bio-/Neuro-Informatics

Description

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project. Front Matter....Pages I-LVII Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics....Pages 1-13 Front Matter....Pages 15-112 Information Processing at the Cellular Level: Beyond the Dogma....Pages 17-27 Dielectrophoresis: Integrated Approaches for Understanding the Cell....Pages 29-42 Information Processing at the Genomics Level....Pages 43-55 Understanding Information Processes at the Proteomics Level....Pages 57-72 Pattern Formation and Animal Morphogenesis....Pages 73-92 Understanding Evolving Bacterial Colonies....Pages 93-112 Front Matter....Pages 113-182 Exploring the Interactions and Structural Organization of Genomes....Pages 115-128 Detecting MicroRNA Signatures Using Gene Expression Analysis....Pages 129-150 Bioinformatic Methods to Discover Cis -regulatory Elements in mRNAs....Pages 151-169 Protein Modeling and Structural Prediction....Pages 171-182 Front Matter....Pages 183-286 Machine Learning Methodology in Bioinformatics....Pages 185-206 Case-Based Reasoning for Biomedical Informatics and Medicine....Pages 207-221 Analysis of Multiple DNA Microarray Datasets....Pages 223-234 Fuzzy Logic and Rule-Based Methods in Bioinformatics....Pages 235-245 Phylogenetic Cladograms: Tools for Analyzing Biomedical Data....Pages 247-263 Protein Folding Recognition....Pages 265-273 Kernel Methods and Applications in Bioinformatics....Pages 275-285 Front Matter....Pages 287-428 Path Finding in Biological Networks....Pages 289-309 Inferring Transcription Networks from Data....Pages 311-326 Front Matter....Pages 287-428 Computational Methods for Analysis of Transcriptional Regulation....Pages 327-353 Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution....Pages 355-373 Structural Pattern Discovery in Protein–Protein Interaction Networks....Pages 375-398 Molecular Networks – Representation and Analysis....Pages 399-418 Whole-Exome Sequencing Data – Identifying Somatic Mutations....Pages 419-427 Front Matter....Pages 429-462 Biological Databases....Pages 431-440 Ontologies for Bioinformatics....Pages 441-461 Front Matter....Pages 463-584 Statistical Signal Processing for Cancer Stem Cell Formation....Pages 465-475 Epigenetics....Pages 477-489 Dynamics of Autoimmune Diseases....Pages 491-500 Nutrigenomics....Pages 501-515 Bioinformatics and Nanotechnologies: Nanomedicine....Pages 517-532 Personalized Information Modeling for Personalized Medicine....Pages 533-553 Health Informatics....Pages 555-564 Ecological Informatics for the Prediction and Management of Invasive Species....Pages 565-583 Front Matter....Pages 585-712 Information Processing in Synapses....Pages 587-624 Computational Modeling with Spiking Neural Networks....Pages 625-646 Statistical Methods for fMRI Activation and Effective Connectivity Studies....Pages 647-672 Neural Circuit Models and Neuropathological Oscillations....Pages 673-702 Understanding the Brain via fMRI Classification....Pages 703-711 Front Matter....Pages 713-762 Nonlinear Adaptive Filtering in Kernel Spaces....Pages 715-734 Recurrence Plots and the Analysis of Multiple Spike Trains....Pages 735-744 Adaptive Multiscale Time-Frequency Analysis....Pages 745-762 Front Matter....Pages 763-862 Modeling Vision with the Neocognitron....Pages 765-782 Information Processing in the Gustatory System....Pages 783-796 EEG Signal Processing for Brain–Computer Interfaces....Pages 797-812 Brain-like Information Processing for Spatio-Temporal Pattern Recognition....Pages 813-834 Neurocomputational Models of Natural Language....Pages 835-861 Front Matter....Pages 863-886 Ontologies and Machine Learning Systems....Pages 865-872 Integration of Large-Scale Neuroinformatics – The INCF....Pages 873-885 Front Matter....Pages 887-1016 Alzheimerʼs Disease....Pages 889-920 Integrating Data for Modeling Biological Complexity....Pages 921-949 A Machine Learning Pipeline for Identification of Discriminant Pathways....Pages 951-968 Computational Neurogenetic Modeling: Gene-Dependent Dynamics of Cortex and Idiopathic Epilepsy....Pages 969-991 Information Methods for Predicting Risk and Outcome of Stroke....Pages 993-1001 sEMG Analysis for Recognition of Rehabilitation Actions....Pages 1003-1016 Front Matter....Pages 1017-1126 Brain-Like Robotics....Pages 1019-1056 Developmental Learning for User Activities....Pages 1057-1070 Quantum and Biocomputing – Common Notions and Targets....Pages 1071-1082 Brain, Gene, and Quantum Inspired Computational Intelligence....Pages 1083-1098 Front Matter....Pages 1017-1126 The Brain and Creativity....Pages 1099-1109 The Allen Brain Atlas....Pages 1111-1126 Back Matter....Pages 1127-1229