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The Resource Epistasis : methods and protocols, edited by Jason H. Moore, Scott M. Williams

Epistasis : methods and protocols, edited by Jason H. Moore, Scott M. Williams

Label
Epistasis : methods and protocols
Title
Epistasis
Title remainder
methods and protocols
Statement of responsibility
edited by Jason H. Moore, Scott M. Williams
Contributor
Editor
Subject
Genre
Language
eng
Summary
This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful "Methods in Molecular Biology" series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, "Epistasis: Methods and Protocols "aids scientists in continuing to study elucidate epistasis in the context of modern data availability
Member of
Cataloging source
YDXCP
Illustrations
illustrations
Index
index present
Language note
English
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Methods in Molecular Biology,
Series volume
1253
Epistasis : methods and protocols, edited by Jason H. Moore, Scott M. Williams
Label
Epistasis : methods and protocols, edited by Jason H. Moore, Scott M. Williams
Link
http://libproxy.rpi.edu/login?url=http://link.springer.com/10.1007/978-1-4939-2155-3
Publication
Copyright
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Related Location
Related Agents
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Epistasis in the risk of human neuropsychiatric disease
  • Scott M. Williams
  • On the partitioning of genetic variance with epistasis
  • José M. Álvarez-Castro and Arnaud Le Rouzic
  • Measuring gene interactions
  • Thomas F. Hansen
  • Two rules for the detection and quantification of epistasis and other interaction effects
  • Günter P. Wagner
  • Direct approach to modeling epistasis
  • Rong-Cai Yang
  • Long-term selection experiments : epistasis and the response to selection
  • Capacitating epistasis -- detection and role in the genetic architecture of complex traits
  • Mats E. Pettersson and Örjan Carlborg
  • Compositional epistasis : an epidemiologic perspective
  • Etsuji Suzuki and Tyler J. VanderWeele
  • Identification of genome-wide SNP-SNP and SNP-clinical boolean interactions in age-related macular degeneration
  • Carlos Riveros ... [and 8 others]
  • Epistasis analysis using information theory
  • Jason H. Moore and Ting Hu
  • Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network
  • Christian Darabos and Jason H. Moore
  • Charles Goodnight
  • Network theory for data-driven epistasis networks
  • Caleb A. Lareau and Brett A. McKinney
  • Epistasis analysis using multifactor dimensionality reduction
  • Jason H. Moore and Peter C. Andrews
  • Epistasis analysis using ReliefF
  • Jason H. Moore
  • Epistasis analysis using artificial intelligence
  • Jason H. Moore and Doug P. Hill
  • Finding the epistasis needles in the genome-wide haystack
  • Marylyn D. Ritchie
  • Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits
  • Li Ma, Alon Keinan, and Andrew G. Clark
  • Epistasis for quantitative traits in Drosophila
  • Trudy F.C. Mackay
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781493921553&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3648689'}
Extent
1 online resource (x, 350 pages)
Form of item
online
Isbn
9781493921553
Lccn
2014953909
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color).
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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