Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/22406
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dc.contributor.authorBinder, Benjamin J.en_US
dc.contributor.authorSimpson, Matthew J.en_US
dc.date.accessioned2016-07-30T01:39:22Z
dc.date.available2016-07-30T01:39:22Z
dc.date.issued2015en_US
dc.identifier.otherHPU4160509en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22406en_US
dc.description.abstractImages from cell biology experiments often indicate the presence of cell clustering, which can provide insight into the mechanisms driving the collective cell behaviour. Pair-correlation functions provide quantitative information about the presence, or absence, of clustering in a spatial distribution of cells. This is because the pair-correlation function describes the ratio of the abundance of pairs of cells, separated by a particular distance, relative to a randomly distributed reference population. Pair-correlation functions are often presented as a kernel density estimate where the frequency of pairs of objects are grouped using a particular bandwidth (or bin width),_x0002_>0.en_US
dc.format.extent15 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectStructural biology and biophysicsen_US
dc.subjectCellular biophysicsen_US
dc.subjectBiophysicsen_US
dc.subjectComputationalen_US
dc.subjectMathematicsen_US
dc.subjectPair-correlationen_US
dc.subjectSpectral analysisen_US
dc.subjectSpatial patternsen_US
dc.subjectCell clusteringen_US
dc.subjectIn vitroassayen_US
dc.titleSpectral analysis of pair correlation bandwidthen_US
dc.typeArticleen_US
dc.size936KBen_US
dc.departmentEducationen_US
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