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Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming

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Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming (English)

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Casey S Greene

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Jason H. Moore

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Jason H Moore

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3

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author name string

Bill C White

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2

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language of work or name

English

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publication date

18 May 2009

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volume

2009

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page(s)

1289-1296

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Symbolic modeling of epistasis.

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PubMed Central

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3012376

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2 November 2018

A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility

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PubMed Central

reference URL

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3012376

retrieved

2 November 2018

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DOI

10.1109/CEC.2009.4983093

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conf/cec/GreeneWM09

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DBLP Dataset 2021-01-02

28 January 2021

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(Q57421069)

Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming

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