Parameter Identification for Markov Models of Biochemical Reactions

Autor:	Andreychenko, Aleksandr, Mikeev, Linar, Spieler, David, Wolf, Verena
Rok vydání:	2011
Předmět:	Quantitative Biology - Quantitative Methods Computer Science - Computational Engineering Finance and Science
Druh dokumentu:	Working Paper
Popis:	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 likelihood relies on a dynamic abstraction of the discrete state space of the Markov model which successfully mitigates the problem of state space largeness. We compare two variants of our method to state-of-the-art, recently published methods and demonstrate their usefulness and efficiency on several case studies from systems biology.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1102.2819 Zobrazit plný text záznamu View this record from Arxiv