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Identifiability of a stochastic model for cell debris in flow cytometry (1998)

Bruni, C. ; Ferrante, L. ; Koch, G.

Springer

Journal of mathematical biology 37 (1998), S. 329-340

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ISSN: 1432-1416

Keywords: Key words: Identifiability ; Stochastic model ; Flow cytometry

Source: Springer Online Journal Archives 1860-2000

Topics: Biology , Mathematics

Notes: Abstract. One of the most important problems in recovering DNA distribution from flow cytometric DNA measurements is the presence of background noise. In this paper, we analyse a probabilistic model recently proposed for background debris distribution and based on a specific probabilistic mechanism for the DNA fragmentation process of the cell nucleus. In particular, we carry out some sufficient conditions to uniquely identify the original DNA distribution from the flow cytometric data.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/s002850050132

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