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Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been;
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; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and;
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verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations;
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experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design;
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-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological;
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from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies;
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, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and;
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, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and;
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of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data;
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This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the;
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computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational;
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This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts;
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image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;
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image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;
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Computational biology is an emerging discipline dealing with applications of computational and data-analysis techniques to study biological;
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Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding;
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A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. There;
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of the biological sciences. Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational;
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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and;
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in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level;
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This book, a consecutive contribution to the series Challenges and Advances in Computational Chemistry and Physics, focuses on;
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This book, a consecutive contribution to the series Challenges and Advances in Computational Chemistry and Physics, focuses on;
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Computational systems biology is the term that we use to describe computational methods to identify, infer, model, and store relationships;
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analysis; computational systems for modeling biological processes; eHealth; tools for next generation sequencing data analysis; assistive;
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mathematical and computational approaches to biological problemsCovers all aspects of drug sensitivity modeling, starting from initial data;
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This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021;
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Computational biology and nanotechnology have become critical elements in particle interactions, especially in biological sciences;
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