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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
Overall attention for this book and its chapters
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Title
Statistical Methods in Molecular Biology
Published by
Humana Press, July 2010
DOI 10.1007/978-1-60761-580-4
ISBNs
978-1-60761-578-1, 978-1-60761-580-4
Editors

Bang, Heejung, Zhou, Xi Kathy, Epps, Heather L., Mazumdar, Madhu

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 2%
Austria 5 1%
United States 5 1%
United Kingdom 5 1%
Australia 4 1%
Canada 3 <1%
Spain 3 <1%
Brazil 3 <1%
France 2 <1%
Other 15 4%
Unknown 334 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 25%
Student > Master 96 25%
Student > Bachelor 50 13%
Researcher 48 12%
Student > Postgraduate 18 5%
Other 65 17%
Unknown 13 3%
Readers by discipline Count As %
Computer Science 178 46%
Psychology 45 12%
Social Sciences 37 10%
Design 26 7%
Engineering 20 5%
Other 58 15%
Unknown 22 6%