Microarray Image and Data Analysis
eBook - ePub

Microarray Image and Data Analysis

Theory and Practice

  1. 520 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Microarray Image and Data Analysis

Theory and Practice

About this book

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.

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Yes, you can access Microarray Image and Data Analysis by Luis Rueda in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2018
eBook ISBN
9781351831673
Edition
1
Topic
Biological Sciences
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Editor
  9. Contributors
  10. Chapter 1 Introduction to Microarrays
  11. Chapter 2 Biological Aspects: Types and Applications of Microarrays
  12. Chapter 3 Gridding Methods for DNA Microarray Images
  13. Chapter 4 Machine Learning-Based DNA Microarray Image Gridding
  14. Chapter 5 Non-Statistical Segmentation Methods for DNA Microarray Images
  15. Chapter 6 Statistical Segmentation Methods for DNA Microarray Images
  16. Chapter 7 Microarray Image Restoration and Noise Filtering
  17. Chapter 8 Compression of DNA Microarray Images
  18. Chapter 9 Image Processing of Affymetrix Microarrays
  19. Chapter 10 Treatment of Noise and Artifacts in Affymetrix Arrays
  20. Chapter 11 Quality Control and Analysis Algorithms for Tissue Microarrays as Biomarker Validation Tools
  21. Chapter 12 CNV-Interactome-Transcriptome Integration to Detect Driver Genes in Cancerology
  22. Chapter 13 Mining Gene-Sample-Time Microarray Data
  23. Chapter 14 Systematic and Stochastic Biclustering Algorithms for Microarray Data Analysis
  24. Chapter 15 Reconstruction of Regulatory Networks from Microarray Data
  25. Chapter 16 Multidimensional Visualization of Microarray Data
  26. Chapter 17 Bioconductor Tools for Microarray Data Analysis
  27. Index