Identifiability of a stochastic model for cell debris in flow cytometry |
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| Authors: | C. Bruni L. Ferrante G. Koch |
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| Affiliation: | (1) Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, V. Eudossiana 18, I-00184, Italy, IT;(2) Centro Interdipartimentale di Ricerca per l’Analisi dei Modelli e della Informazione nei Sistemi Biomedici, Università di Roma “La Sapienza”, C. Vittorio Emanuele II 244, I-00186, Italy, IT;(3) Istituto di Scienze Biomediche, Università di Ancona, Monte d’Ago, I-60131, Italy. e-mail: biomat@popcsi.unian.it, IT;(4) Dipartimento di Matematica, Università di Roma Tre, L. San Leonardo Murialdo, I-00146, Italy, IT |
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| 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. Received: 15 June 1997 / Revised version: 18 November 1997 |
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| Keywords: | : Identifiability Stochastic model Flow cytometry |
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