Statistical Genetics Gene Mapping Through Linkage & Association math statistics

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ApproximatelyRM 158.58
Condition:
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“Softcover. Like new condition. Former owner's name written on inside front cover. No other ”... Read moreabout condition
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Item specifics

Condition
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“Softcover. Like new condition. Former owner's name written on inside front cover. No other ...
Country of Origin
United Kingdom
Book Title
Statistical Genetics : Gene Mapping Through Linkage and Associati
Educational Level
Adult & Further Education
Personalized
No
Level
Advanced
Features
1st Edition, Illustrated
Unit Quantity
1
ISBN
9780415410403
Category

About this product

Product Identifiers

Publisher
Taylor & Francis Group
ISBN-10
0415410401
ISBN-13
9780415410403
eBay Product ID (ePID)
59074095

Product Key Features

Number of Pages
608 Pages
Publication Name
Statistical Genetics : Gene Mapping Through Linkage and Association
Language
English
Publication Year
2008
Subject
Life Sciences / Molecular Biology, Life Sciences / Cell Biology, Life Sciences / Genetics & Genomics
Type
Textbook
Author
Benjamin Neale
Subject Area
Science
Format
Perfect

Dimensions

Item Height
1.4 in
Item Weight
37.7 Oz
Item Length
9.7 in
Item Width
7 in

Additional Product Features

Intended Audience
College Audience
LCCN
2007-042274
Reviews
"…well organized and is written and edited by enthusiastic experts. This will be a great starting place for anyone who wants to understand and, hopefully, get involved with research on the genetics of human complex traits." Twin Research and Human Genetics, " well organized and is written and edited by enthusiastic experts. This will be a great starting place for anyone who wants to understand and, hopefully, get involved with research on the genetics of human complex traits." Twin Research and Human Genetics, "...well organized and is written and edited by enthusiastic experts. This will be a great starting place for anyone who wants to understand and, hopefully, get involved with research on the genetics of human complex traits." Twin Research and Human Genetics
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
572.8/633
Table Of Content
1. Introduction 2. DNA 3. Introduction to Biometrical Genetics 4. Introduction to Statistics 5. Statistical Power 6. Population Genetics and its Relevance to Gene Mapping 7. Principles of Linkage Analysis 8. IBD Estimation 9. Regression Methods for Linkage Analysis 10. Variance Components Linkage Analysis for Quantitative Traits 11. Extensions to Univariate Linkage Analysis 12. QTL Detection in Multivariate Data from Sibling Pairs 13. Factors Affecting Type I Error and Power of Linkage Analysis 14. Introduction to Association 15. Single-locus Association Models 16. Genome-wide Association 17. Haplotype Estimation 18. Multi-locus Association Models 19. Linkage Disequilibrium and Tagging 20. Haploview 21. Factors Affecting Type I Error and Power in Association 22. Resampling Approaches to Statistical Interference
Synopsis
Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
LC Classification Number
QH438.4.S73

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