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Modelling Nonstationary Gene Regulatory Processes
Joint Authors
Grzegorcyzk, Marco
Rahnenführer, Jörg
Husmeier, Dirk
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-07-20
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
An important objective in systems biology is to infer gene regulatory networks from postgenomic data, and dynamic Bayesian networks have been widely applied as a popular tool to this end.
The standard approach for nondiscretised data is restricted to a linear model and a homogeneous Markov chain.
Recently, various generalisations based on changepoint processes and free allocation mixture models have been proposed.
The former aim to relax the homogeneity assumption, whereas the latter are more flexible and, in principle, more adequate for modelling nonlinear processes.
In our paper, we compare both paradigms and discuss theoretical shortcomings of the latter approach.
We show that a model based on the changepoint process yields systematically better results than the free allocation model when inferring nonstationary gene regulatory processes from simulated gene expression time series.
We further cross-compare the performance of both models on three biological systems: macrophages challenged with viral infection, circadian regulation in Arabidopsis thaliana, and morphogenesis in Drosophila melanogaster.
American Psychological Association (APA)
Grzegorcyzk, Marco& Husmeier, Dirk& Rahnenführer, Jörg. 2010. Modelling Nonstationary Gene Regulatory Processes. Advances in Bioinformatics،Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-495722
Modern Language Association (MLA)
Grzegorcyzk, Marco…[et al.]. Modelling Nonstationary Gene Regulatory Processes. Advances in Bioinformatics No. 2010 (2010), pp.1-17.
https://search.emarefa.net/detail/BIM-495722
American Medical Association (AMA)
Grzegorcyzk, Marco& Husmeier, Dirk& Rahnenführer, Jörg. Modelling Nonstationary Gene Regulatory Processes. Advances in Bioinformatics. 2010. Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-495722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495722