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. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the;
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. In this book, the authors describe DNA microarray technology and data analysis by pointing out current advantages and disadvantages of the;
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resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data;
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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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This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data;
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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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of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage;
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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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the questions that arise starting at this point, providing an introduction to microarray technology, then moving on to image analysis, data;
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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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This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis;
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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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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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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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A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a;
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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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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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Microarray Analysis is a natural outgrowth of the author's teaching and research into the fi eld of microarray processing, a fast growing;
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oligonucleotide design, printing, labeling and hybridization, data acquisition, normalization, and meta-analysis Additional uses of microarray;
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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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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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allowed such calculations in a high dimensional context, followed by several chapters covering the analysis of microarray data. The amount;
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allowed such calculations in a high dimensional context, followed by several chapters covering the analysis of microarray data. The amount;
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such as linkage analysis and functional studies this becomes a very prominent tool. This study describes various methods used in microarray;
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