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Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of

Computational Biology. --- Systems Biology. --- Biological systems --- Systèmes biologiques --- Computer simulation. --- Simulation par ordinateur --- Systems biology. --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Philosophy

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All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly. The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and machine learning. It is a valuable resource for researchers and graduate students who are interested to learn more about bioinformatics to apply in their research work.

Bioinformatics. --- Systems biology. --- Computational biology. --- Biology --- Bioinformatics --- Computational biology --- Biological systems --- Molecular biology --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Data processing --- Computational Biology --- Systems Biology

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytical and algorithms, mathematical modeling and simulation techniques. Part I: Computational Biology discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques. Part II: Bioinformatics: Databases, Data Mining and Pattern Discovery focuses on how to use methods for storing, retrieving, organizing an

Biology - General --- Biology --- Health & Biological Sciences --- Computational biology. --- Bioinformatics. --- Systems biology. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Data processing

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Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized

Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Medical informatics.

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Cancer --- Systems biology. --- Molecular aspects. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology