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Molecular biology --- Bioinformatics --- Proteomics --- Biologie moléculaire --- Bio-informatique --- Protéomique --- Data processing --- Congresses. --- Informatique --- Congrès --- Computational Biology --- Systems Biology --- Biology --- Genomics --- Biochemistry --- Chemistry --- Biological Science Disciplines --- Genetics --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Biophysics --- Engineering & Applied Sciences --- Health & Biological Sciences --- Systems biology. --- Computational biology. --- Bioinformatics. --- Data processing. --- Bio-informatics --- Biological informatics --- Molecular biochemistry --- Molecular biophysics --- Computer science. --- Computers. --- Algorithms. --- Mathematical logic. --- Computer Science. --- Computation by Abstract Devices. --- Mathematical Logic and Formal Languages. --- Algorithm Analysis and Problem Complexity. --- Information science --- Computational biology --- Systems biology --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Foundations --- Biomolecules --- Biological systems --- Computer software. --- Software, Computer

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Mathematical logic --- Complex analysis --- Biomathematics. Biometry. Biostatistics --- Computer science --- complexe analyse (wiskunde) --- bio-informatica --- informatica --- biometrie --- wiskunde --- logica

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Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of ‘big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being collected at nation-wide level thus giving us another source of highly related (causal) 'big data'. This wealth of data is usually modeled as networks (aka binary relations, graphs or webs) of interactions, (including protein–protein, metabolic, signaling and transcription-regulatory interactions). The network model is a key view point leading to the uncovering of mesoscale phenomena, thus providing an essential bridge between the observable phenotypes and 'omics' underlying mechanisms. Moreover, network analysis is a powerful 'hypothesis generation' tool guiding the scientific cycle of 'data gathering', 'data interpretation, 'hypothesis generation' and 'hypothesis testing’. A major challenge in contemporary research is the synthesis of deep insights coming from network science with the wealth of data (often noisy, contradictory, incomplete and difficult to replicate) so to answer meaningful biological questions, in a quantifiable way using static and dynamic properties of biological networks.

systems biology --- network science --- network biology --- cancer networks --- hypothesis generation and verification --- computational biology

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This book constitutes the refereed conference proceedings of the 11th International Conference on Bio-Inspired Information and Communications Technologies, held in Pittsburgh, PA, USA, in March 2019. The 13 revised full papers and 2 short papers were selected from 29 submissions. Past iterations of the conference have attracted contributions in Direct Bioinspiration (physical biological materials and systems used within technology) as well as Indirect Bioinspiration (biological principles, processes and mechanisms used within the design and application of technology). This year, the scope has expanded to include a third thrust: Foundational Bioinspiration (bioinspired aspects of game theory, evolution, information theory, and philosophy of science).

Bioinformatics. --- Artificial intelligence. --- Information theory. --- Computational Biology/Bioinformatics. --- Artificial Intelligence. --- Theory of Computation. --- Communication theory --- Communication --- Cybernetics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Biotechnology --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace

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Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, and computer science. This book contains the proceedings from the 2006 Workshop on the Algorithmic Foundations of Robotics. This biannual workshop is a highly selective meeting of leading researchers in the field of algorithmic issues related to robotics. The 32 papers in this book span a wide variety of topics: from fundamental motion planning algorithms to applications in medicine and biology, but they have in common a foundation in the algorithmic problems of robotic systems.

Operational research. Game theory --- Machine elements --- Artificial intelligence. Robotics. Simulation. Graphics --- procesautomatisering --- automatisering --- systeemtheorie --- speltheorie --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- systeembeheer --- machines --- robots --- regeltechniek