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The Analysis of Gene Expression Data : Methods and Software

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Table of Contents

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    Book Overview
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    Chapter 1 The Analysis of Gene Expression Data: An Overview of Methods and Software
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    Chapter 2 Visualization and Annotation of Genomic Experiments
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    Chapter 3 Bioconductor R Packages for Exploratory Analysis and Normalization of cDNA Microarray Data
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    Chapter 4 An R Package for Analyses of Affymetrix Oligonucleotide Arrays
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    Chapter 5 The Analysis of Gene Expression Data
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    Chapter 6 Expression Profiler
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    Chapter 7 An S-PLUS Library for the Analysis and Visualization of Differential Expression
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    Chapter 8 Dragon and Dragon View: Methods for the Annotation, Analysis, and Visualization of Large-Scale Gene Expression Data
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    Chapter 9 Snomad: Biologist-Friendly Web Tools for the Standardization and NOrmalization of Microarray Data
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    Chapter 10 Microarray Analysis Using the MicroArray Explorer
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    Chapter 11 Parametric Empirical Bayes Methods for Microarrays
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    Chapter 12 SAM Thresholding and False Discovery Rates for Detecting Differential Gene Expression in DNA Microarrays
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    Chapter 13 Adaptive Gene Picking with Microarray Data: Detecting Important Low Abundance Signals
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    Chapter 14 MAANOVA: A Software Package for the Analysis of Spotted cDNA Microarray Experiments
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    Chapter 15 GeneClust
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    Chapter 16 POE: Statistical Methods for Qualitative Analysis of Gene Expression
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    Chapter 17 Bayesian Decomposition
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    Chapter 18 Bayesian Clustering of Gene Expression Dynamics
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    Chapter 19 Relevance Networks: A First Step Toward Finding Genetic Regulatory Networks Within Microarray Data
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2 institutions with syllabi

Citations

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Title
The Analysis of Gene Expression Data : Methods and Software
Published by
Springer New York, April 2006
DOI 10.1007/b97411
ISBNs
978-0-387-21679-9, 978-0-387-95577-3
Editors

Parmigiani, Giovanni, Zeger, Scott L., Irizarry, Rafael A., Garrett, Elizabeth S.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 3 4%
Spain 2 3%
Italy 1 1%
Uganda 1 1%
Germany 1 1%
Brazil 1 1%
Poland 1 1%
Hong Kong 1 1%
Other 1 1%
Unknown 53 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 12 18%
Lecturer 9 13%
Professor > Associate Professor 6 9%
Other 5 7%
Other 19 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 24%
Medicine and Dentistry 10 15%
Computer Science 10 15%
Biochemistry, Genetics and Molecular Biology 6 9%
Mathematics 5 7%
Other 21 31%