Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

BACKGROUND: 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 method...

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Bibliografische gegevens
Gepubliceerd in:BioData Min
Hoofdauteurs: Li, Ruowang, Dudek, Scott M., Kim, Dokyoon, Hall, Molly A., Bradford, Yuki, Peissig, Peggy L., Brilliant, Murray H., Linneman, James G., McCarty, Catherine A., Bao, Le, Ritchie, Marylyn D.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2016
Onderwerpen:
Methodology
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4862166/
https://ncbi.nlm.nih.gov/pubmed/27168765
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0094-4
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