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Microarray Image and Data Analysis: Theory and Practice - Digital Imaging and Computer Vision 1er édition
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Microarray Image and Data Analysis: Theory and Practice - Digital Imaging and Computer Vision
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 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.
520 pages, 51 Tables, black and white; 137 Illustrations, black and white
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 12 juin 2019 |
| ISBN13 | 9781138374805 |
| Éditeurs | Taylor & Francis Ltd |
| Pages | 520 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Langue et grammaire | Anglais |
| Éditeur | Rueda, Luis (School of Computer Science, University of Windsor, Ontario, Canada) |
