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Statistical Methods in Molecular Biology

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Cover of 'Statistical Methods in Molecular Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Experimental Statistics for Biological Sciences
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    Chapter 2 Nonparametric Methods for Molecular Biology
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    Chapter 3 Basics of Bayesian Methods
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    Chapter 4 The Bayesian t -Test and Beyond
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    Chapter 5 Sample size and power calculation for molecular biology studies.
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    Chapter 6 Designs for linkage analysis and association studies of complex diseases.
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    Chapter 7 Introduction to Epigenomics and Epigenome-Wide Analysis
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    Chapter 8 Exploration, Visualization, and Preprocessing of High–Dimensional Data
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    Chapter 9 Introduction to the Statistical Analysis of Two-Color Microarray Data
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    Chapter 10 Building networks with microarray data.
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    Chapter 11 Support Vector Machines for Classification: A Statistical Portrait
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    Chapter 12 An Overview of Clustering Applied to Molecular Biology
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    Chapter 13 Hidden Markov Model and Its Applications in Motif Findings
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    Chapter 14 Dimension Reduction for High-Dimensional Data
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    Chapter 15 Introduction to the Development and Validation of Predictive Biomarker Models from High-Throughput Data Sets
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    Chapter 16 Multi-gene Expression-based Statistical Approaches to Predicting Patients’ Clinical Outcomes and Responses
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    Chapter 17 Two-Stage Testing Strategies for Genome-Wide Association Studies in Family-Based Designs
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    Chapter 18 Statistical Methods for Proteomics
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    Chapter 19 Statistical methods for integrating multiple types of high-throughput data.
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    Chapter 20 A Bayesian Hierarchical Model for High-Dimensional Meta-analysis
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    Chapter 21 Methods for Combining Multiple Genome-Wide Linkage Studies
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    Chapter 22 Improved reporting of statistical design and analysis: guidelines, education, and editorial policies.
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    Chapter 23 Stata Companion
Attention for Chapter 9: Introduction to the Statistical Analysis of Two-Color Microarray Data
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Chapter title
Introduction to the Statistical Analysis of Two-Color Microarray Data
Chapter number 9
Book title
Statistical Methods in Molecular Biology
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-580-4_9
Pubmed ID
Book ISBNs
978-1-60761-578-1, 978-1-60761-580-4
Authors

Martina Bremer, Edward Himelblau, Andreas Madlung, Bremer, Martina, Himelblau, Edward, Madlung, Andreas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
South Africa 1 3%
Brazil 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Researcher 9 31%
Student > Postgraduate 3 10%
Student > Bachelor 2 7%
Other 2 7%
Other 3 10%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 3 10%
Mathematics 2 7%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 2 7%