• DocumentCode
    3511361
  • Title

    Determination of protein location diversity via analysis of immunohistochemical images from the Human Protein Atlas

  • Author

    Rao, Arvind ; Murphy, Robert F.

  • Author_Institution
    Lane Center for Comput. Biol., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    1727
  • Lastpage
    1729
  • Abstract
    The Human Protein Atlas (HPA) is a repository of location patterns of about 11000 proteins within tissues and cell lines. In this work we summarize some of our current work on analyzing immunohistochemical images of proteins within 7 distinct tissues. Firstly, we present our efforts to analyze spatial point patterns of protein staining and determine protein subcellular location from image-derived proximity features. Next, we present a method to identify proteins that have differential location between normal and cancer tissue. These methods provide a principled way to characterize location diversity of the proteome across normal and cancer tissues.
  • Keywords
    biochemistry; biological tissues; biology computing; cancer; feature extraction; image classification; medical image processing; molecular biophysics; proteins; proteomics; cancer tissue; cell lines; human protein atlas; image classification; image-derived proximity features; immunohistochemical images; normal tissue; protein location diversity; protein staining; proteome diversity; Biomarkers; Cancer; DNA; Humans; Immune system; Pixel; Proteins; biomarkers; graph proximity; protein atlas; random forest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872738
  • Filename
    5872738