• DocumentCode
    1400752
  • Title

    High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections

  • Author

    Carin, Lawrence ; Hero, Alfred, III ; Lucas, Joseph ; Dunson, David ; Chen, Minhua ; Heñao, Ricardo ; Tibau-Piug, A. ; Zaas, Aimee ; Woods, Christopher W. ; Ginsburg, Geoffrey S.

  • Volume
    29
  • Issue
    1
  • fYear
    2012
  • Firstpage
    108
  • Lastpage
    123
  • Abstract
    In this article, we review recent progress in using high-dimensional longitudinal genomic data collected from virus challenge studies, per- formed with healthy human volun- teers. The focus of the article is on statistical signal processing, but we also show how the results may be used to yield biological insights.
  • Keywords
    genomics; medical signal processing; microorganisms; statistical analysis; biological insights; high dimensional longitudinal genomic data; statistical signal processing; viral infections monitoring; virus; Biological system modeling; Data models; Genomics; Medical services; Viruses (medical);
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2011.943009
  • Filename
    6105970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1400752