Rueda L. (Ed.) Microarray Image and Data Analysis: Theory and Practice

CRC Press, 2014. — 516 p. — (Digital Imaging and Computer Vision). — ISBN: 9781466586871Microarray 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 conclusionsAn 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.EditorIntroduction to Microarrays
Luis Rueda and Adnan Ali
Biological Aspects: Types and Applications of Microarrays
Adnan Ali
Gridding Methods for DNA Microarray Images
Iman Rezaeian and Luis Rueda
Machine Learning-Based DNA Microarray Image Gridding
Dimitris Bariamis, Michalis Savelonas, and Dimitris Maroulis
Non-Statistical Segmentation Methods for DNA Microarray Images
Shahram Shirani
Statistical Segmentation Methods for DNA Microarray Images
Meng-Yuan Tsai, Tai-Been Chen, and Henry Horng-Shing Lu
Microarray Image Restoration and Noise Filtering
Rastislav Lukac
Compression of DNA Microarray Images
Miguel Hern´andez-Cabronero, Michael W. Marcellin, and Joan Serra-Sagrist`a
Image Processing of Affymetrix Microarrays
Jose Manuel Arteaga-Salas
Treatment of Noise and Artifacts in Affymetrix Arrays
Caroline C. Friedel
Quality Control and Analysis Algorithms for Tissue Microarrays as Biomarker Validation Tools
Todd H. Stokes, Sonal Kothari, Chih-wen Cheng, and May D. Wang
CNV-Interactome-Transcriptome Integration to Detect Driver Genes in Cancerology
Maxime Garcia, Rapha¨ele Millat-Carus, Franc¸ois Bertucci, Pascal Finetti, Arnaud Guille, Jos´e Ad´ela¨ıde, Ismahane Bekhouche, Renaud Sabatier, Max Chaffanet, Daniel Birnbaum, and Ghislain Bidaut
Mining Gene-Sample-Time Microarray Data
Yifeng Li and Alioune Ngom
Systematic and Stochastic Biclustering Algorithms for Microarray Data Analysis
Wassim Ayadi, Mourad Elloumi, and Jin-Kao Hao
Reconstruction of Regulatory Networks from Microarray Data
Yiqian Zhou, Rehman Qureshi, Francis Bell, and Ahmet Sacan
Multidimensional Visualization of Microarray Data
Urˇska Cvek and Marjan Trutschl
Bioconductor Tools for Microarray Data Analysis
Simon Cockell, Matthew Bashton, and Colin S. Gillespie