Cluster-based network model for time-course gene expression data

Inoue, Lurdes, Neira, Mauricio, Nelson, Colleen, Gleave, Martin, & Etzioni, Ruth (2007) Cluster-based network model for time-course gene expression data. Biostatistics, 8(3), pp. 507-525.

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We propose a model-based approach to unify clustering and network modeling using time-course gene expression data. Specifically, our approach uses a mixture model to cluster genes. Genes within the same cluster share a similar expression profile. The network is built over cluster-specific expression profiles using state-space models. We discuss the application of our model to simulated data as well as to time-course gene expression data arising from animal models on prostate cancer progression. The latter application shows that with a combined statistical/bioinformatics analyses, we are able to extract gene-to-gene relationships supported by the literature as well as new plausible relationships.

Impact and interest:

18 citations in Scopus
14 citations in Web of Science®
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ID Code: 37521
Item Type: Journal Article
Refereed: Yes
Additional Information: Articles free to read on journal website after 2 years
Keywords: Bayesian network; Bioinformatics; Dynamic linear model; Mixture model; Model-based clustering; Prostate cancer; Time-course gene expression
DOI: 10.1093/biostatistics/kxl026
ISSN: 1465-4644
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > GENETICS (060400)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Deposited On: 30 Sep 2010 03:50
Last Modified: 27 Jan 2015 06:47

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