Work

Flow cytometry based state aggregation of a stochastic model of protein expression

Year: 2011

Type: conference-paper

Abstract: In this article, we introduce the new approach fluorescence grid based aggregation (FGBA) to justify a dynamical model of protein expression using experimental fluorescence histograms. First, we describe the dynamics of the gene-protein system by a chemical master equation (CME), while the protein production rates are unknown. Second, we aggregate the states of the CME into unknown group sizes. Then, we show that these unknown values can be replaced by the data from the experimental fluorescence histograms. Consequently, final probability distributions correspond to the experimental fluorescence histograms.

Source: IEEE Conference on Decision and Control (CDC)

DOI: 10.1109/cdc.2011.6161393

Authors: Anahita Mirtabatabaei, Francesco Bullo, Mustafa Khammash

Institution: University of California, Santa Barbara

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2012556771

FWCI:

Cites: 18

Cited by: 1

Related to: 10