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      Book

      Microarray Image and Data Analysis
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      Book

      Microarray Image and Data Analysis

      DOI link for Microarray Image and Data Analysis

      Microarray Image and Data Analysis book

      Theory and Practice

      Microarray Image and Data Analysis

      DOI link for Microarray Image and Data Analysis

      Microarray Image and Data Analysis book

      Theory and Practice
      Edited ByLuis Rueda
      Edition 1st Edition
      First Published 2014
      eBook Published 17 June 2019
      Pub. Location Boca Raton
      Imprint CRC Press
      DOI https://doi.org/10.1201/9781315215785
      Pages 520
      eBook ISBN 9781315215785
      Subjects Bioscience, Engineering & Technology
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      Rueda, L. (Ed.). (2014). Microarray Image and Data Analysis: Theory and Practice (1st ed.). CRC Press. https://doi.org/10.1201/9781315215785

      ABSTRACT

      Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book:

      • Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization
      • Features cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networks
      • Covers different types of microarrays such as DNA, protein, tissue, and low- and high-density oligonucleotide arrays
      • Examines the current state of various microarray technologies, including their availability and affordability
      • Explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions

      An essential reference for academia and industry, Microarray Image and Data Analysis: Theory and Practice provides readers with valuable tools and techniques that extend to a wide range of biological studies and microarray platforms.

      TABLE OF CONTENTS

      chapter 1|40 pages

      Introduction to Microarrays

      chapter 2|36 pages

      Biological Aspects: Types and Applications of Microarrays

      chapter 3|32 pages

      Gridding Methods for DNA Microarray Images

      chapter 4|20 pages

      Machine Learning-Based DNA Microarray Image Gridding

      chapter 5|20 pages

      Non-Statistical Segmentation Methods for DNA Microarray Images

      chapter 6|22 pages

      Statistical Segmentation Methods for DNA Microarray Images

      chapter 7|24 pages

      Microarray Image Restoration and Noise Filtering

      chapter 8|32 pages

      Compression of DNA Microarray Images

      ByMiguel Herna´ndez-Cabronero, Michael W. Marcellin, and Joan Serra-Sagrista`

      chapter 9|28 pages

      Image Processing of Affymetrix Microarrays

      chapter 10|28 pages

      Treatment of Noise and Artifacts in Affymetrix Arrays

      chapter 11|30 pages

      Quality Control and Analysis Algorithms for Tissue Microarrays as Biomarker Validation Tools

      ByTodd H. Stokes, Sonal Kothari, Chih-wen Cheng, and May D. Wang

      chapter 12|26 pages

      CNV-Interactome-Transcriptome Integration to Detect Driver Genes in Cancerology

      chapter 13|30 pages

      Mining Gene-Sample-Time Microarray Data

      chapter 14|32 pages

      Systematic and Stochastic Biclustering Algorithms for Microarray Data Analysis

      chapter 15|30 pages

      Reconstruction of Regulatory Networks from Microarray Data

      chapter 16|28 pages

      Multidimensional Visualization of Microarray Data

      chapter 17|22 pages

      Bioconductor Tools for Microarray Data Analysis

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