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.
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.
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|Item Type:||Journal Article|
|Keywords:||Bayesian network; Bioinformatics; Dynamic linear model; Mixture model; Model-based clustering; Prostate cancer; Time-course gene expression|
|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 13:50|
|Last Modified:||29 Feb 2012 23:29|
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