Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Li:2016:bdm,
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author = "Ruowang Li and Scott M. Dudek and Dokyoon Kim and
Molly A. Hall and Yuki Bradford and
Peggy L. Peissig and Murray H. Brilliant and James G. Linneman and
Catherine A. McCarty and Le Bao and
Marylyn D. Ritchie",
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title = "Identification of genetic interaction networks via an
evolutionary algorithm evolved {Bayesian} network",
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journal = "BioData Mining",
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year = "2016",
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volume = "9",
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number = "1",
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pages = "18",
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month = "10 " # may,
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution Bayesian Network (GEBN)",
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ISSN = "1756-0381",
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DOI = "doi:10.1186/s13040-016-0094-4",
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URL = "https://doi.org/10.1186/s13040-016-0094-4",
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language = "en",
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oai = "oai:biomedcentral.com:s13040-016-0094-4",
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URL = "http://www.biodatamining.org/content/9/1/18",
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abstract = "The future of medicine is moving towards the phase of
precision medicine, with the goal to prevent and treat
diseases by taking inter-individual variability into
account. A large part of the variability lies in our
genetic makeup. With the fast paced improvement of
high-throughput methods for genome sequencing, a
tremendous amount of genetics data have already been
generated. The next hurdle for precision medicine is to
have sufficient computational tools for analysing large
sets of data. Genome-Wide Association Studies (GWAS)
have been the primary method to assess the relationship
between single nucleotide polymorphisms (SNPs) and
disease traits. While GWAS is sufficient in finding
individual SNPs with strong main effects, it does not
capture potential interactions among multiple SNPs. In
many traits, a large proportion of variation remain
unexplained by using main effects alone, leaving the
door open for exploring the role of genetic
interactions. However, identifying genetic interactions
in large-scale genomics data poses a challenge even for
modern computing.",
- }
Genetic Programming entries for
Ruowang Li
Scott M Dudek
Dokyoon Kim
Molly A Hall
Yuki Bradford
Peggy L Peissig
Murray H Brilliant
James G Linneman
Catherine A McCarty
Le Bao
Marylyn D Ritchie
Citations