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A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a;
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well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that;
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The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and;
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This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the;
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methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear;
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text focuses on improving the processes involved in the analysis of microarray image data, the methods discussed can be applied to a broad;
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highly developed process involves multiple steps, from sample selection to data analysis, each susceptible to potentially costly errors. Without;
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range of concepts required to master the experimental and data analysis aspects of microarray technology. The first chapter is a concise;
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to analyze the data for all genes (more than 30,000 genes) simultaneously and to use the microarray data in a decision-making process;
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current computational and statistical methods to analyze and interpreting both microarray and NGS data. These methods and techniques include;
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technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the;
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Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;
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Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;
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are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single;
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A Biologist's Guide to Analysis of DNA Microarray Data Steen Knudsen Microarrays are low-density arrays of DNA molecules that permit many;
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, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types;
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This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data;
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of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data;
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of microarray technology in pharmacogenomics. This Practical Approach book is a comprehensive overview of the new and expanding field of DNA;
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Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists;
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patterns in gene expression microarray data sets* Sample-based analysis: supervised and unsupervised methods for the reduction of the gene;
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Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray;
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Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray;
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This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic;
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practical textbooks.Discriminant analysis is the best approach for microarray consisting of normal and cancer classes. Microarrays are linearly;
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Using chips composed of thousands of spots, each with the capability of holding DNA molecules corresponding to a given gene, DNA microarray;
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. To reap real knowledge from the mountains of data produced, however, requires interdisciplinary skills-a background not only in biology but;
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