Microarray Image Analysis
An Algorithmic Approach
1st Edition
Published on 25. January 2010
335 pages
978-1-4200-9154-0 (ISBN)
Description
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this decoupling a reality. The proposed syste
Reviews / Votes
Overall, this is a well-written book, and it should be useful for researchers and practitioners who work on microarray image analysis.-Peihua Qiu, Technometrics, May 2012
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Researchers and graduate students in bioinformatics, computer science, and statistics.
Illustrations
134 s/w Abbildungen
134 b/w images and About 23
ISBN-13
978-1-4200-9154-0 (9781420091540)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2017
1st Edition
CRC Press
€111.50
Shipment within 10-20 days
Book
01/2010
1st Edition
Chapman & Hall/CRC
€304.55
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Persons
Karl Fraser is a research fellow in the Centre for Intelligent Data Analysis at Brunel University.
Zidong Wang is a professor of dynamical systems and computing in the Department of Information Systems and Computing at Brunel University.
Xiaohu Liu is a professor of computing and head of the Centre for Intelligent Data Analysis at Brunel University.
Zidong Wang is a professor of dynamical systems and computing in the Department of Information Systems and Computing at Brunel University.
Xiaohu Liu is a professor of computing and head of the Centre for Intelligent Data Analysis at Brunel University.
Content
Introduction. Background. Data Services. Structure Extrapolation I. Structure Extrapolation II. Feature Identification I. Feature Identification II. Chained Fourier Background Reconstruction. Graph-Cutting for Improving Microarray Gene Expression. Stochastic Dynamic Modeling of Short Gene Expression Time Series Data. Conclusions. Appendices. References.
