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Principles of Statistical Genomics

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Cover of 'Principles of Statistical Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Map Functions
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    Chapter 2 Recombination Fraction
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    Chapter 3 Genetic Map Construction
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    Chapter 4 Multipoint Analysis of Mendelian Loci
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    Chapter 5 Basic Concepts of Quantitative Genetics
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    Chapter 6 Major Gene Detection
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    Chapter 7 Segregation Analysis
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    Chapter 8 Genome Scanning for Quantitative Trait Loci
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    Chapter 9 Interval Mapping
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    Chapter 10 Interval Mapping for Ordinal Traits
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    Chapter 11 Mapping Segregation Distortion Loci
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    Chapter 12 QTL Mapping in Other Populations
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    Chapter 13 Random Model Approach to QTL Mapping
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    Chapter 14 Mapping QTL for Multiple Traits
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    Chapter 15 Bayesian Multiple QTL Mapping
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    Chapter 16 Empirical Bayesian QTL Mapping
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    Chapter 17 Microarray Differential Expression Analysis
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    Chapter 18 Hierarchical Clustering of Microarray Data
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    Chapter 19 Model-Based Clustering of Microarray Data
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    Chapter 20 Gene-Specific Analysis of Variances
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    Chapter 21 Factor Analysis of Microarray Data
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    Chapter 22 Classification of Tissue Samples Using Microarrays
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    Chapter 23 Time-Course Microarray Data Analysis
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    Chapter 24 Quantitative Trait-Associated Microarray Data Analysis
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    Chapter 25 Mapping Expression Quantitative Trait Loci
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Citations

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Title
Principles of Statistical Genomics
Published by
Springer New York, September 2012
DOI 10.1007/978-0-387-70807-2
ISBNs
978-0-387-70806-5, 978-0-387-70807-2
Authors

Xu, Shizhong

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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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
Sweden 2 <1%
Chile 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 202 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 26%
Researcher 46 22%
Student > Master 29 14%
Student > Doctoral Student 13 6%
Student > Bachelor 12 6%
Other 36 17%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 58%
Biochemistry, Genetics and Molecular Biology 24 11%
Medicine and Dentistry 11 5%
Mathematics 9 4%
Computer Science 5 2%
Other 17 8%
Unknown 24 11%