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Epistasis

Overview of attention for book
Cover of 'Epistasis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Long-Term Selection Experiments: Epistasis and the Response to Selection
  3. Altmetric Badge
    Chapter 2 Finding the Epistasis Needles in the Genome-Wide Haystack
  4. Altmetric Badge
    Chapter 3 Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.
  5. Altmetric Badge
    Chapter 4 Epistasis for quantitative traits in Drosophila.
  6. Altmetric Badge
    Chapter 5 Epistasis in the risk of human neuropsychiatric disease.
  7. Altmetric Badge
    Chapter 6 On the Partitioning of Genetic Variance with Epistasis
  8. Altmetric Badge
    Chapter 7 Measuring gene interactions.
  9. Altmetric Badge
    Chapter 8 Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects
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    Chapter 9 Direct Approach to Modeling Epistasis
  11. Altmetric Badge
    Chapter 10 Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits
  12. Altmetric Badge
    Chapter 11 Compositional Epistasis: An Epidemiologic Perspective
  13. Altmetric Badge
    Chapter 12 Identification of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions in Age-Related Macular Degeneration.
  14. Altmetric Badge
    Chapter 13 Epistasis Analysis Using Information Theory
  15. Altmetric Badge
    Chapter 14 Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network.
  16. Altmetric Badge
    Chapter 15 Network theory for data-driven epistasis networks.
  17. Altmetric Badge
    Chapter 16 Epistasis analysis using multifactor dimensionality reduction.
  18. Altmetric Badge
    Chapter 17 Epistasis Analysis Using ReliefF
  19. Altmetric Badge
    Chapter 18 Epistasis analysis using artificial intelligence.
Attention for Chapter 13: Epistasis Analysis Using Information Theory
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  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Chapter title
Epistasis Analysis Using Information Theory
Chapter number 13
Book title
Epistasis
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2155-3_13
Pubmed ID
Book ISBNs
978-1-4939-2154-6, 978-1-4939-2155-3, 978-1-4939-2154-6, 978-1-4939-2155-3
Authors

Jason H. Moore, Ting Hu, Moore JH, Hu T, Moore, Jason H., Hu, Ting

Abstract

Here we introduce entropy-based measures derived from information theory for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the methods and highlight some of the modifications that have greatly improved its power for genetic analysis. We end with a few published studies of complex human diseases that have used these measures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 4 22%
Student > Master 4 22%
Student > Doctoral Student 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Biochemistry, Genetics and Molecular Biology 2 11%
Medicine and Dentistry 2 11%
Business, Management and Accounting 1 6%
Computer Science 1 6%
Other 3 17%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2017.
All research outputs
#6,226,706
of 22,774,233 outputs
Outputs from Methods in molecular biology
#1,855
of 13,091 outputs
Outputs of similar age
#84,894
of 352,928 outputs
Outputs of similar age from Methods in molecular biology
#140
of 996 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,091 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,928 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.