Introduction to Statistical Methods in Modern Genetics
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A01=M.C. Yang
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advanced genetic statistical techniques
allele
alleles
Author_M.C. Yang
Bb. BB.
Category=PS
CUA
Data Set
disease
Disease Allele
Disease Gene
Double Backcross
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
fraction
frequency
Full Penetrance
gene-environment interaction
genetic data analysis
graduate level genetics
IBD
IML Program
information
IPF
Kinship Coefficient
likelihood
Likelihood Ratio Test
loci
LOD Score
marker
Marker Information
Marker Loci
Mating Type
molecular biology statistics
Onset Rate
PBB
population genetics methods
QTL
quantitative trait mapping
recombination
Recombination Fraction
Sib
Splice Site
Product details
- ISBN 9780367398903
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 05 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application.
Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn:
Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.
Yang, M.C.
