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Bioinformatics and Computational Biology Solutions Using R and Bioconductor

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Cover of 'Bioinformatics and Computational Biology Solutions Using R and Bioconductor'

Table of Contents

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    Book Overview
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    Chapter 1 Preprocessing Overview
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    Chapter 2 Preprocessing High-density Oligonucleotide Arrays
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    Chapter 3 Quality Assessment of Affymetrix GeneChip Data
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    Chapter 4 Preprocessing Two-Color Spotted Arrays
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    Chapter 5 Cell-Based Assays
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    Chapter 6 SELDI-TOF Mass Spectrometry Protein Data
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    Chapter 7 Meta-data Resources and Tools in Bioconductor
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    Chapter 8 Querying On-line Resources
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    Chapter 9 Interactive Outputs
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    Chapter 10 Visualizing Data
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    Chapter 11 Analysis Overview
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    Chapter 12 Distance Measures in DNA Microarray Data Analysis
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    Chapter 13 Cluster Analysis of Genomic Data
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    Chapter 14 Analysis of Differential Gene Expression Studies
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    Chapter 15 Multiple Testing Procedures: the multtest Package and Applications to Genomics
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    Chapter 16 Machine Learning Concepts and Tools for Statistical Genomics
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    Chapter 17 Ensemble Methods of Computational Inference
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    Chapter 18 Browser-based Affymetrix Analysis and Annotation
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    Chapter 19 Introduction and Motivating Examples
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    Chapter 20 Graphs
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    Chapter 21 Bioconductor Software for Graphs
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    Chapter 22 Case Studies Using Graphs on Biological Data
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    Chapter 23 limma: Linear Models for Microarray Data
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    Chapter 24 Classification with Gene Expression Data
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    Chapter 25 From CEL Files to Annotated Lists of Interesting Genes
Attention for Chapter 23: limma: Linear Models for Microarray Data
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Chapter title
limma: Linear Models for Microarray Data
Chapter number 23
Book title
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Published by
Springer, New York, NY, January 2005
DOI 10.1007/0-387-29362-0_23
Book ISBNs
978-0-387-25146-2, 978-0-387-29362-2
Authors

G. K. Smyth, Smyth, G. K.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,074 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 39 2%
United Kingdom 24 1%
Germany 13 <1%
Australia 9 <1%
France 8 <1%
Brazil 7 <1%
Netherlands 6 <1%
Denmark 6 <1%
Canada 6 <1%
Other 60 3%
Unknown 1896 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 580 28%
Researcher 504 24%
Student > Master 223 11%
Student > Bachelor 128 6%
Student > Doctoral Student 107 5%
Other 320 15%
Unknown 212 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 954 46%
Biochemistry, Genetics and Molecular Biology 328 16%
Medicine and Dentistry 152 7%
Computer Science 119 6%
Mathematics 60 3%
Other 189 9%
Unknown 272 13%