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The Analysis of Gene Expression Data : Methods and Software
Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by
blogs
2
blogs
syllabi
2
institutions with syllabi
Citations
dimensions_citation
219
Dimensions
Readers on
mendeley
68
Mendeley
Book overview
1. The Analysis of Gene Expression Data: An Overview of Methods and Software
2. Visualization and Annotation of Genomic Experiments
3. Bioconductor R Packages for Exploratory Analysis and Normalization of cDNA Microarray Data
4. An R Package for Analyses of Affymetrix Oligonucleotide Arrays
5. The Analysis of Gene Expression Data
6. Expression Profiler
7. An S-PLUS Library for the Analysis and Visualization of Differential Expression
8. Dragon and Dragon View: Methods for the Annotation, Analysis, and Visualization of Large-Scale Gene Expression Data
9. Snomad: Biologist-Friendly Web Tools for the Standardization and NOrmalization of Microarray Data
10. Microarray Analysis Using the MicroArray Explorer
11. Parametric Empirical Bayes Methods for Microarrays
12. SAM Thresholding and False Discovery Rates for Detecting Differential Gene Expression in DNA Microarrays
13. Adaptive Gene Picking with Microarray Data: Detecting Important Low Abundance Signals
14. MAANOVA: A Software Package for the Analysis of Spotted cDNA Microarray Experiments
15. GeneClust
16. POE: Statistical Methods for Qualitative Analysis of Gene Expression
17. Bayesian Decomposition
18. Bayesian Clustering of Gene Expression Dynamics
19. Relevance Networks: A First Step Toward Finding Genetic Regulatory Networks Within Microarray Data
Summary
Blogs
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Pennsylvania State University-Main Campus
2
Unknown
University of California-Los Angeles
1
Unknown