Methods of Microarray Data Analysis II: Papers from CAMDA '01 - Simon M Lin - Books - Springer-Verlag New York Inc. - 9781402071119 - June 30, 2002
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Methods of Microarray Data Analysis II: Papers from CAMDA '01 2002 edition

Simon M Lin

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Methods of Microarray Data Analysis II: Papers from CAMDA '01 2002 edition

In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter.


Marc Notes: Incl. bibl. ref. & index; Conference papers, 2001Biographical Note: Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center. Table of Contents: Contributors. Acknowledgements. Preface. Introduction. An Introduction to DNA Microarrays; P. McConnell, et al. Experimental Design for Gene Microarray Experiments and Differential Expression Analysis; G. V. Bobashev, et al. Microarray Data Processing and Analysis; J. Dopazo. Biology-Driven Clustering of Microarray Data; K. R. Coombes, et al. Extracting Global Structure from Gene Expression Profiles; C. Fowlkes, et al. Supervised Neural Networks for Clustering Conditions in DNA Array Data after Reducing Noise by Clustering Gene Expression Profiles; A. Mateos, et al. Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants; G. Bidaut, et al. Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium; S. M. Lin, et al. Fishing Expedition - A Supervised Approach to Extract Patterns from a Compendium of Expression Profiles; Z. Zhang, et al. Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel PLS to Correlate the Microarray Data to Therapeutic Responses; N. Dasgupta, et al. Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning; Jeong-Ho Chang, et al. Evaluation of Current Methods of Testing Differential Gene Expression and Beyond; Y.-J. Li, et al. Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature; J. P. Sluka. Index. Publisher Marketing: Microarray technology is a major experimental tool for functional genomic explorations, and should continue to be a major tool throughout the 21st century. The explosion of this technology threatens to overwhelm the scientific community with massive quantities of data, but because microarray data analysis is an emerging field, very few analytical models exist.

Contributor Bio:  Lin, Simon M Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center. Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. Contributor Bio:  Johnson, Kimberly F Kimberly F. Johnson is Director of Duke Cancer Center InformationSystems and Director of Duke Bioinformatics Shared Resource, DukeUniversity Medical Center.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released June 30, 2002
ISBN13 9781402071119
Publishers Springer-Verlag New York Inc.
Pages 214
Dimensions 155 × 235 × 14 mm   ·   521 g
Editor Johnson, Kimberly F.
Editor Lin, Simon M.

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