The Resource Applied Statistical Genetics with R : For Population-based Association Studies, by Andrea S. Foulkes, (electronic resource)

Applied Statistical Genetics with R : For Population-based Association Studies, by Andrea S. Foulkes, (electronic resource)

Label
Applied Statistical Genetics with R : For Population-based Association Studies
Title
Applied Statistical Genetics with R
Title remainder
For Population-based Association Studies
Statement of responsibility
by Andrea S. Foulkes
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways to disease progression. In this introductory graduate level text, Dr. Foulkes elucidates core concepts that undergird the wide range of analytic techniques and software tools for the analysis of data derived from population-based genetic investigations. Applied Statistical Genetics with R offers a clear and cogent presentation of several fundamental statistical approaches that researchers from multiple disciplines, including medicine, public health, epidemiology, statistics and computer science, will find useful in exploring this emerging field. Couched in the language of biostatistics, this text can be easily adopted for public health and medical school curricula. The text covers key genetic data concepts and statistical principles to provide the reader with a strong foundation in methods for candidate gene and genome-wide association studies. These include methods for unobservable haplotypic phase, multiple testing adjustments, and high-dimensional data analysis. Emphasis is on analysis of data arising from studies of unrelated individuals and the potential interplay among genetic factors and more traditional, epidemiological risk factors for disease. While theoretically rigorous, the analytic techniques are presented at a level that will appeal to researchers and students with limited knowledge of statistical genetics. The text assumes the reader has completed a first course in biostatistics, uses publicly available data sets for illustration, and provides extensive examples using the open source, publicly available statistical software environment R. Dr. Foulkes is an Associate Professor of Biostatistics at the University of Massachusetts, Amherst, where she has been recognized for teaching excellence. Her active research program includes the development of methods for characterizing the relationships among high-dimensional molecular and cellular level data and measures of disease progression. She has authored numerous technical manuscripts in this field and currently serves as the principal investigator of an individual research award from the National Institute of Allergy and Infectious Diseases, a division of the National Institutes of Health
Member of
http://library.link/vocab/creatorName
Foulkes, Andrea S
Image bit depth
0
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Use R
http://library.link/vocab/subjectName
  • Life sciences
  • Statistical methods
  • Statistics
  • Life Sciences
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Biostatistics
Label
Applied Statistical Genetics with R : For Population-based Association Studies, by Andrea S. Foulkes, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Genetic Association Studies -- Elementary Statistical Principles -- Genetic Data Concepts and Tests -- Multiple Comparison Procedures -- Methods for Unobservable Phase -- Classifcation and Regression Trees -- Additional Topics in High-Dimensional Data Analysis
Dimensions
unknown
File format
multiple file formats
Form of item
electronic
Isbn
9780387895543
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-0-387-89554-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-0-387-89554-3
Label
Applied Statistical Genetics with R : For Population-based Association Studies, by Andrea S. Foulkes, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Genetic Association Studies -- Elementary Statistical Principles -- Genetic Data Concepts and Tests -- Multiple Comparison Procedures -- Methods for Unobservable Phase -- Classifcation and Regression Trees -- Additional Topics in High-Dimensional Data Analysis
Dimensions
unknown
File format
multiple file formats
Form of item
electronic
Isbn
9780387895543
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-0-387-89554-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-0-387-89554-3

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