Microarray Image and Data Analysis (eBook, ePUB)

Theory and Practice
Redaktion: Rueda, Luis

• Format: ePub

Produktbeschreibung

This book is a compilation of the latest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of different types of microarrays, it examines the current state of microarray technology and describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization. Featuring cutting-edge approaches to clustering and the reconstruction of regulatory networks, the book explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 520
• Erscheinungstermin: 3. September 2018
• Englisch
• ISBN-13: 9781351831673
• Artikelnr.: 54794737

Autorenporträt

Luis Rueda is professor for the School of Computer Science, University of Windsor, Ontario, Canada. Before joining the University of Windsor, he earned a Ph.D from Carleton University, Ottawa, Ontario, Canada and spent two years at the University of Concepción, Chile. A member of IEEE, the Association for Computing Machinery, and the International Society for Computational Biology, he holds three patents on data encryption, secrecy, and stealth; has published over 100 journal and conference papers; and has participated in numerous editorial and technical committees. His research is primarily focused on machine learning and pattern recognition in transcriptomics, interactomics, and genomics.

Inhaltsangabe

Introduction to Microarrays. Biological Aspects: Types and Applications of
Microarrays. Gridding Methods for DNA Microarray Images. Machine
Learning-Based DNA Microarray Image Gridding. Non-Statistical Segmentation
Methods for DNA Microarray Images. Statistical Segmentation Methods for DNA
Microarray Images. Microarray Image Restoration and Noise Filtering.
Compression of DNA Microarray Images. Image Processing of Affymetrix
Microarrays. Treatment of Noise and Artifacts in Affymetrix Arrays. Quality
Control and Analysis Algorithms for Tissue Microarrays.
CNV-Interactome-Transcriptome Integration. Mining Gene-Sample-Time
Microarray Data. Systematic and Stochastic Biclustering Algorithms for
Microarray Data Analysis. Reconstruction of Regulatory Networks from
Microarray Data. Multidimensional Visualization of Microarray Data.
Bioconductor Tools for Microarray Data Analysis.