GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines.

Saved in:
Bibliographic Details
Title: GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines.
Authors: Díez Díaz, Fidel1 (AUTHOR) fidel.diez@fundacionctic.org, Sánchez Lasheras, Fernando2 (AUTHOR) sanchezfernando@uniovi.es, Moreno, Víctor3 (AUTHOR) v.moreno@iconcologia.net, Moratalla-Navarro, Ferran3 (AUTHOR) fmoratalla@iconcologia.net, Molina de la Torre, Antonio José4 (AUTHOR) ajmolt@unileon.es, Martín Sánchez, Vicente5 (AUTHOR) vicente.martin@unileon.es, Rho, Seungmin (AUTHOR)
Source: Mathematics (2227-7390). Mar2021, Vol. 9 Issue 6, p654-654. 1p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 149500906
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Díez+Díaz%2C+Fidel%22">Díez Díaz, Fidel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fidel.diez@fundacionctic.org</i><br /><searchLink fieldCode="AR" term="%22Sánchez+Lasheras%2C+Fernando%22">Sánchez Lasheras, Fernando</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> sanchezfernando@uniovi.es</i><br /><searchLink fieldCode="AR" term="%22Moreno%2C+Víctor%22">Moreno, Víctor</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> v.moreno@iconcologia.net</i><br /><searchLink fieldCode="AR" term="%22Moratalla-Navarro%2C+Ferran%22">Moratalla-Navarro, Ferran</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> fmoratalla@iconcologia.net</i><br /><searchLink fieldCode="AR" term="%22Molina+de+la+Torre%2C+Antonio+José%22">Molina de la Torre, Antonio José</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> ajmolt@unileon.es</i><br /><searchLink fieldCode="AR" term="%22Martín+Sánchez%2C+Vicente%22">Martín Sánchez, Vicente</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> vicente.martin@unileon.es</i><br /><searchLink fieldCode="AR" term="%22Rho%2C+Seungmin%22">Rho, Seungmin</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Mathematics+%282227-7390%29%22">Mathematics (2227-7390)</searchLink>. Mar2021, Vol. 9 Issue 6, p654-654. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=149500906
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/math9060654
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: 654
    Titles:
      – TitleFull: GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Díez Díaz, Fidel
      – PersonEntity:
          Name:
            NameFull: Sánchez Lasheras, Fernando
      – PersonEntity:
          Name:
            NameFull: Moreno, Víctor
      – PersonEntity:
          Name:
            NameFull: Moratalla-Navarro, Ferran
      – PersonEntity:
          Name:
            NameFull: Molina de la Torre, Antonio José
      – PersonEntity:
          Name:
            NameFull: Martín Sánchez, Vicente
      – PersonEntity:
          Name:
            NameFull: Rho, Seungmin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 03
              Text: Mar2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 22277390
          Numbering:
            – Type: volume
              Value: 9
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Mathematics (2227-7390)
              Type: main
ResultId 1