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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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methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear;
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together the fields of image processing, data analysis, and molecular biology to advance the state of the art in this important area. Although the;
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comprehensive resource for ensuring quality control in every step of this complex process. From experimental design to data processing, analysis, and;
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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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Biologist's Guide to Analysis of DNA Microarray Data meets the needs of research professionals, students, and trainees alike for a compact yet;
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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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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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* Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies* A model;
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standard clustering methods traditionally used. From the contents:* Understanding and Preprocessing Microarray Data* Clustering of Microarray Data;
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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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current computational and statistical methods to analyze and interpreting both microarray and NGS data. These methods and techniques include;
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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 Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage;
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Microarrays builds the foundation in the statistics and data analysis tools needed by biologists and provides the overview of microarrays needed by;
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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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statistics and procedures for the analysis of dose-response microarray data * Resampling-based inference and use of the SAM method for;
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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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The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and;
Vergelijkbare producten zoals A Practical Approach to Microarray Data Analysis
, clustering, classification and data standards. The book is based on the highly successful Microarray Bioinformatics course at Oxford University, and;
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workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray;
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oligonucleotide design, printing, labeling and hybridization, data acquisition, normalization, and meta-analysis Additional uses of microarray;
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two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with;
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