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  • nrc
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  • tool
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  • Assistant Professor
  • Associate Professor
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  • Clinical Research Nurse
  • Clinician Researcher
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  • Dual-education Student
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  • Honorary Professor
  • Lab assistant
  • Master Student
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  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
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  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
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Scientific Fields
Diseases
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Applications
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Published in PloS one - 01 Jan 2013

Lagache T, Lang G, Sauvonnet N, Olivo-Marin JC

Link to Pubmed [PMID] – 24349021

Link to HAL – hal-01406249

Link to DOI – 10.1371/journal.pone.0080914

PLoS One 2013 ; 8(12): e80914

One major question in molecular biology is whether the spatial distribution of observed molecules is random or organized in clusters. Indeed, this analysis gives information about molecules’ interactions and physical interplay with their environment. The standard tool for analyzing molecules’ distribution statistically is the Ripley’s K function, which tests spatial randomness through the computation of its critical quantiles. However, quantiles’ computation is very cumbersome, hindering its use. Here, we present an analytical expression of these quantiles, leading to a fast and robust statistical test, and we derive the characteristic clusters’ size from the maxima of the Ripley’s K function. Subsequently, we analyze the spatial organization of endocytic spots at the cell membrane and we report that clathrin spots are randomly distributed while clathrin-independent spots are organized in clusters with a radius of 2 μm, which suggests distinct physical mechanisms and cellular functions for each pathway.