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Statistical Science
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Statistical Science
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Graphical Models for Genetic Analyses

Graphical models for genetic analyses
Authors: Lauritzen, S.L.; Sheehan, Nuala A.;

Graphical Models for Genetic Analyses

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Statistics (see also social sciences), forensic genetics, QTL analysis, Applications of graph theory, forensic genetic, Applications of statistics to biology and medical sciences; meta analysis, probability propagation, Bayesian network, local computation, linkage analysis, peeling, Genetics and epigenetics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    102
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
102
Top 10%
Top 10%
Top 10%
Green
hybrid