Skip to main navigation Skip to search Skip to main content

Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities

  • Florian Mittag
  • , Finja Büchel
  • , Mohamad Saad
  • , Andreas Jahn
  • , Claudia Schulte
  • , Zoltan Bochdanovits
  • , Javier Simón-Sánchez
  • , Mike A. Nalls
  • , Margaux Keller
  • , Dena G. Hernandez
  • , J. Raphael Gibbs
  • , Suzanne Lesage
  • , Alexis Brice
  • , Peter Heutink
  • , Maria Martinez
  • , Nicholas W. Wood
  • , John Hardy
  • , Andrew B. Singleton
  • , Andreas Zell
  • , Thomas Gasser
    • Manu Sharma*
*Corresponding author for this work
  • University of Tübingen
  • Institut national de la santé et de la recherche médicale
  • INSERM UMR 1043 and Paul Sabatier University
  • German Center for Neurodegenerative Diseases
  • VU University Medical Center
  • National Institutes of Health
  • Temple University
  • University College London
  • Sorbonne Université
  • CNRS

Research output: Contribution to journal › Article › peer-review

45   Link opens in a new tab Citations (Scopus)

Fingerprint

Dive into the research topics of 'Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities'. Together they form a unique fingerprint.
Sort by

Neuroscience

Biochemistry, Genetics and Molecular Biology

Agricultural and Biological Sciences

Keyphrases