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reproduced by the reader, A Cell Biologist's Guide to Modeling and Bioinformatics introduces an array of informatics tools that are available for;
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in A Bioinformatics Guide for Molecular Biologists will allow the reader to become comfortable with these techniques, encouraging their use;
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Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and;
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dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for;
Vergelijkbare producten zoals Computational Bioengineering and Bioinformatics
dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for;
Vergelijkbare producten zoals Computational Bioengineering and Bioinformatics
engineers, and eventually people from various further ?elds. A major problem within such interdisciplinary teams is always to ?nd some common;
Vergelijkbare producten zoals Bioinformatics
engineers, and eventually people from various further ?elds. A major problem within such interdisciplinary teams is always to ?nd some common;
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, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling;
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High-Performance Fuel Cells Designing and Building Fuel Cells equips you with a hands-on guide for the design, modeling, and construction;
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) modeling. Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the;
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) modeling. Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the;
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provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum. Chapters;
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The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on;
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presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene;
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presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene;
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Fundamental Concepts of Bioinformatics is the first book co-authored by a biologist and computer scientist that is specifically designed to;
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interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling;
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this book as a review of photoreceptor and RPE cell biology, and known molecular bases of many forms of retinitis pigmentosa and related;
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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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preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving;
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is a comprehensive introduction to this exciting field of study. The book is intended to be a textbook for researchers and for courses;
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of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental;
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innovation that changed the face of cell biology. Addressing readers curious to know why and how he achieved such success, the story begins with a;
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Neurons: Methods and Applications for the Cell Biologist lays out numerous simple techniques for growing and carrying out experiments with;
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The development and application of bioinformatics tools to basic and translational cancer research is, in fact, a rapidly expanding field;
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This book gives the reader a survey of hundreds results in the field of the cell and cell associated objects modeling. Applications to;
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This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to;
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