Microarray Image Analysis: An Algorithmic Approach
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
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Microarray Image Analysis: An Algorithmic Approach
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
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Microarray Image Analysis: An Algorithmic Approach

Microarray Image Analysis: An Algorithmic Approach

Microarray Image Analysis: An Algorithmic Approach

Microarray Image Analysis: An Algorithmic Approach

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Overview

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

Product Details

ISBN-13: 9781040206119
Publisher: CRC Press
Publication date: 01/25/2010
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Sold by: Barnes & Noble
Format: eBook
Pages: 335
File size: 11 MB
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About the Author

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.

Table of Contents

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.

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From the Publisher

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

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