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
fDate :
April 29 2014-May 2 2014
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;
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
DOI :
10.1109/ISBI.2014.6867928