An application of the Krylov-FSP-SSA method to parameter fitting with maximum likelihood

Monte Carlo methods such as the stochastic simulation algorithm (SSA) have traditionally been employed in gene regulation problems. However, there has been increasing interest to directly obtain the probability distribution of the molecules involved by solving the chemical master equation (CME). Thi...

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Bibliographic Details

Published in:	Physical biology Vol. 14; no. 6; p. 065001
Main Authors:	Dinh, Khanh N, Sidje, Roger B
Format:	Journal Article
Language:	English
Published:	England 03.11.2017
Subjects:	Algorithms Gene Regulatory Networks Models, Genetic Probability Saccharomyces cerevisiae - genetics Synthetic Biology Systems Biology
ISSN:	1478-3975, 1478-3975
Online Access:	Get more information
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