Articles liés à Microarray Image and Data Analysis: Theory and Practice

Microarray Image and Data Analysis: Theory and Practice - Couverture souple

Livre 10 sur 11: Digital Imaging and Computer Vision
 
9781138374805: Microarray Image and Data Analysis: Theory and Practice

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

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.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.