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Book

Microarray Image and Data Analysis

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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