Microarray image and data analysis : theory and practice için kapak resmi
Başlık:
Microarray image and data analysis : theory and practice
Yazar:
Rueda, Luis, editor.
ISBN:
9781466586871
Fiziksel Tanımlama:
1 online resource.
Seri:
Digital imaging and computer vision series

Digital imaging and computer vision series.
İçerik:
chapter 1. Introduction to microarrays / Luis Rueda and Adnan Ali -- chapter 2. Biological aspects : types and applications of microarrays / Adnan Ali -- chapter 3. Gridding methods for DNA microarray images / Iman Rezaeian and Luis Rueda -- chapter 4. Machine learning-based DNA microarray image gridding / Dimitris Bariamis, Michalis Savelonas, and Dimitris Maroulis -- chapter 5. Non-statistical segmentation methods for DNA microarray images / Shahram Shirani -- chapter 6. Statistical segmentation methods for DNA microarray images / Meng-Yuan Tsai, Tai-Been Chen, and Henry Horng-Shing Lu -- chapter 7. Microarray image restoration and noise filtering / Rastislav Lukac -- Chapter 8. Compression of DNA microarray images / Miguel Hernandez-Cabronero, Michael W. Marcellin, and Joan Serra-Sagrista -- chapter 9. Image processing of affymetrix microarrays / Jose Manuel Arteaga-Salas -- chapter 10. Treatment of noise and artifacts in affymetrix arrays / Caroline C. Friedel -- chapter 11. Quality control and analysis algorithms for tissue microarrays as biomarker validation tools / Todd H. Stokes, Sonal Kothari, Chih-wen Cheng, and May D.Wang -- chapter 12. CNV-interactome-transcriptome integration to detect driver genes in cancerology / Maxime Garcia, Raphaele Millat-Carus, Francois Bertucci, Pascal Finetti, Arnaud Guille, Jose Adelaide, Ismahane Bekhouche, Renaud Sabatier, Max Chaffanet, Daniel Birnbaum, and Ghislain Bidaut -- chapter 13. Mining gene-sample-time microarray data / Yifeng Li and Alioune Ngom -- chapter 14. Systematic and stochastic biclustering algorithms for microarray data analysis / Wassim Ayadi, Mourad Elloumi, and Jin-Kao Hao -- chapter 15. Reconstruction of regulatory networks from microarray data / Yiqian Zhou, Rehman Qureshi, Francis Bell, and Ahmet Sacan -- chapter 16. Multidimensional visualization of microarray data / Urska Cvek and Marjan Trutschl -- chapter 17. Bioconductor tools for microarray data analysis / Simon Cockell, Matthew Bashton, and Colin S. Gillespie.
Özet:
"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"-- Provided by publisher.
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E-Kitap 546442-1001 TP248.25 .A96 M53 2014
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