• DocumentCode
    1771834
  • Title

    A statistical analysis of spatial clustering along cell filaments using Ripley´s K function

  • Author

    Lopez Yunta, Marina ; Lagache, Thibault ; Santi-Rocca, Julien ; Bastin, Philippe ; Olivo-Marin, Jean-Christophe

  • Author_Institution
    Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    The analysis of the spatial distribution of molecules along one dimensional structures, such as filaments of the cell´s cytoskeleton, gives essential information on intracellular transport mechanisms. The standard tool for analyzing molecules´ organizationis the Ripley´s K function, which permits to statistically test the hypothesis of molecules´ random distribution against clustering or dispersion. However, the computation of the critical quantiles of Ripley´s K function is currently based on Monte-Carlo simulations, which induces a high computational load and hinders its use. Here, we present an analytical expression of these quantiles for 1D filaments, leading to a fast and robust statistical test. Thereafter, we used our statistical test to analyze the spatial distribution of proteins involved in intraflagellar transport along the flagellum of the parasite Typanosoma brucei.
  • Keywords
    Monte Carlo methods; cellular transport; molecular biophysics; proteins; statistical testing; Monte Carlo simulations; Ripley´s K function; Typanosoma brucei parasite; cell filaments; cytoskeleton; flagellum; intracellular transport; intraflagellar transport; molecular organization; proteins; spatial clustering; spatial distribution; statistical analysis; Approximation methods; Distribution functions; Graphical models; Monte Carlo methods; Reactive power; Standards; Cell filaments; Clustering; Cornish-Fisher expansion; Ripley´s K function; Spatial Statistics; Typanosoma brucei;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867928
  • Filename
    6867928