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pro vyhledávání: '"Andreychenko, Aleksandr"'
We propose a numerical technique for parameter inference in Markov models of biological processes. Based on time-series data of a process we estimate the kinetic rate constants by maximizing the likelihood of the data. The computation of the likeliho
Externí odkaz:
http://arxiv.org/abs/1102.2819
Publikováno v:
EPTCS 57, 2011, pp. 1-15
This paper presents an on-the-fly uniformization technique for the analysis of time-inhomogeneous Markov population models. This technique is applicable to models with infinite state spaces and unbounded rates, which are, for instance, encountered in
Externí odkaz:
http://arxiv.org/abs/1006.4425
Autor:
Andreychenko A; Computer Science Department, Saarland University, 66123 Saarbrücken, Germany. wolf@cs.uni-saarland.de., Mikeev L, Spieler D, Wolf V
Publikováno v:
EURASIP journal on bioinformatics & systems biology [EURASIP J Bioinform Syst Biol] 2012 Jul 18; Vol. 2012 (1), pp. 9. Date of Electronic Publication: 2012 Jul 18.