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The Analysis of Gene Expression Data : Methods and Software

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Cover of 'The Analysis of Gene Expression Data : Methods and Software'

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
Attention for Chapter 15: GeneClust
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Citations

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Chapter title
GeneClust
Chapter number 15
Book title
The Analysis of Gene Expression Data
Published by
Springer, New York, NY, January 2003
DOI 10.1007/0-387-21679-0_15
Book ISBNs
978-0-387-95577-3, 978-0-387-21679-9
Authors

Kim-Anh Do, Bradley Broom, Sijin Wen

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Engineering 1 33%

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