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Microarray Image and Data Analysis Theory and Practice 1st Edition by Luis Rueda ISBN 1466586877 9781466586871

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Microarray Image and Data Analysis Theory and Practice 1st Edition Luis Rueda Digital Instant Download

Author(s): Luis Rueda
ISBN(s): 9781466586871, 1466586877
Edition: 1
File Details: PDF, 45.47 MB
Year: 2014
Language: english
SKU: EB-4748090 Category: Tag:

Microarray Image and Data Analysis Theory and Practice 1st Edition by Luis Rueda – Ebook PDF Instant Download/Delivery: 1466586877, 9781466586871

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Product details:

ISBN 10: 1466586877

ISBN 13: 9781466586871 

Author: Luis Rueda 

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:

  1. Biological Aspects: Types and Applications of Microarrays

  2. Gridding Methods for DNA Microarray Images

  3. Machine Learning-Based DNA Microarray Image Gridding

  4. Non-Statistical Segmentation Methods for DNA Microarray Images

  5. Statistical Segmentation Methods for DNA Microarray Images

  6. Microarray Image Restoration and Noise Filtering

  7. Compression of DNA Microarray Images

  8. Image Processing of Affymetrix Microarrays

  9. Treatment of Noise and Artifacts in Affymetrix Arrays

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

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

  12. Mining Gene-Sample-Time Microarray Data

  13. Systematic and Stochastic Biclustering Algorithms for Microarray Data Analysis

  14. Reconstruction of Regulatory Networks from Microarray Data

  15. Multidimensional Visualization of Microarray Data

  16. Bioconductor Tools for Microarray Data Analysis

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Tags: Luis Rueda, Microarray, Image and Data Analysis, Theory, Practice