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The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and;
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, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;
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mathematics, computer science, systems biology, and related disciplines. It is intended for researchers as well as graduate and advanced undergraduate;
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mathematics, computer science, systems biology, and related disciplines. It is intended for researchers as well as graduate and advanced undergraduate;
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aspects of the latest advances in network biology. It is a valuable reference for scientists, university teachers and graduate students in biology;
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Systems Biology and Its Application in TCM Formulas Research presents a theoretical research system formed for Traditional Chinese;
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volume is split into sections that cover subjects such as machines for systems biology, protein production and quantification for systems biology;
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in a single book. Poses questions to ask when planning the design and analysis of a study or experiment. This book is written for applied;
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. This book is written for applied researchers, scientists, consultants, statisticians and applied scientists. Although it uses examples drawn;
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The book entitled Applied Computational Biology and Statistics in Biotechnology and Bioinformatics is aimed to cater to the growing;
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Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied;
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genetic evolutionary biology that be applied to economics, engineering and bioscience. Explains network fitness, network evolvability;
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Computational biology involves the use of techniques including applied mathematics, informatics, statistics, computer science, artificial;
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statistical methods for complex systems. * Explores networks and graphical modeling as well as a wide range of statistical models for dynamical;
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Theory. This text presents biology as an autonomous science from the perspective of fundamental modeling techniques. A complete resource for;
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Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput;
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crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models;
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. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation;
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) systematic design methods for the modification and construction of biological networks with desired behaviours, which provide system design;
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Theory. This text presents biology as an autonomous science from the perspective of fundamental modeling techniques. A complete resource for;
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approaches for synthetic biology; and case studies in systems and synthetic biology.;
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of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns;
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. Fortunately, as Network Biology: Methods and Applications examines, concepts emerging from the study of biological entities such as networks (e.g;
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This new title in the well-established Quantitative Network Biology series includes innovative and existing methods for analyzing network;
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For decades biology has focused on decoding cellular processes one gene at a time, but many of the most pressing biological questions, as;
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For decades biology has focused on decoding cellular processes one gene at a time, but many of the most pressing biological questions, as;
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This new edition captures the advances made in the field of evolutionary systems biology since the publication of the first edition. The;
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