Microarray image analysis an algorithmic approach

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Microarray Image Analysis
An Algorithmic Approach

Chapman & Hall/CRC

Computer Science and Data Analysis Series
The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other. This series aims to foster the integration between the computer sciences and statistical, numerical, and probabilistic methods bypublishing a broad range of reference works, textbooks, and handbooks. SERIES EDITORS David Blei, Princeton University David Madigan, Rutgers University Marina Meila, University of Washington Fionn Murtagh, Royal Holloway, University of London Proposals for the series should be sent directly to one of the series editors above, or submitted to: Chapman & Hall/CRC 4th Floor, Albert House 1-4 SingerStreet London EC2A 4BQ UK

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Introduction to Machine Learning and Bioinformatics Sushmita Mitra, Sujay Datta, Theodore Perkins, and George Michailidis Microarray Image Analysis: An Algorithmic Approach Karl Fraser, Zidong Wang, and Xiaohui Liu Pattern Recognition Algorithms for Data MiningSankar K. Pal and Pabitra Mitra R Graphics Paul Murrell R Programming for Bioinformatics Robert Gentleman Semisupervised Learning for Computational Linguistics Steven Abney Statistical Computing with R Maria L. Rizzo

Wendy L. Martinez and Angel R. Martinez

Microarray Image Analysis
An Algorithmic Approach

Karl Fraser Zidong Wang Xiaohui Liu

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