Buch, Englisch, 520 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 962 g
Theory and Practice
Buch, Englisch, 520 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 962 g
Reihe: Digital Imaging and Computer Vision
ISBN: 978-1-138-37480-5
Verlag: Taylor & Francis Ltd
- 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.
Zielgruppe
Graduate and advanced-level undergraduate students, professors, academic and industry researchers, and practitioners in multidisciplinary fields including bioinformatics, data mining, computer science, information technology, statistics, biology, biochemistry, genomics, and biomedical engineering.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Naturwissenschaften Biowissenschaften Biowissenschaften
Weitere Infos & Material
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.