epistasis-package: Detecting Epistatic Selection with Partially Observed...
In epistasis: Detecting Epistatic Selection with Partially Observed Genotype Data
Description
Author(s)
References
Description
A package for reconstructing an underlying network of genomic signatures of high-dimensional epistatic selection from multi-locus genotype data.
The package is implemented the recent improvement in the analysis of high-dimensional partially observed genotype data Behrouzi and Wit (2016).
The network captures the conditionally dependent short- and long-range linkage disequilibrium structure of a genomes and reveals aberrant marker-marker
associations that are due to epistatic selection rather than gametic linkage.
Author(s)
Pariya Behrouzi, Danny Arends, and Ernst C. Wit
Maintainers: Pariya Behrouzi pariya.behrouzi@gmail.com
References
P. Behrouzi and E. C. Wit. Detecting Epistatic Selection with Partially Observed Genotype Data Using Copula Graphical Models. arXiv, 2016.
epistasis documentation built on May 2, 2019, 5:09 a.m.
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Description Author(s) References
Description
A package for reconstructing an underlying network of genomic signatures of high-dimensional epistatic selection from multi-locus genotype data. The package is implemented the recent improvement in the analysis of high-dimensional partially observed genotype data Behrouzi and Wit (2016). The network captures the conditionally dependent short- and long-range linkage disequilibrium structure of a genomes and reveals aberrant marker-marker associations that are due to epistatic selection rather than gametic linkage.
Author(s)
Pariya Behrouzi, Danny Arends, and Ernst C. Wit
Maintainers: Pariya Behrouzi pariya.behrouzi@gmail.com
References
P. Behrouzi and E. C. Wit. Detecting Epistatic Selection with Partially Observed Genotype Data Using Copula Graphical Models. arXiv, 2016.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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