Bayesian Functional Data Clustering for Temporal Microarray Data

We propose a Bayesian procedure to cluster temporal gene expression microarray profiles, based on a mixed-effect smoothing-spline model, and design a Gibbs sampler to sample from the desired posterior distribution. Our method can determine the cluster number automatically based on the Bayesian infor...

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Detalles Bibliográficos
Autores principales: Ma, Ping, Zhong, Wenxuan, Feng, Yang, Liu, Jun S.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2358942/
https://www.ncbi.nlm.nih.gov/pubmed/18464908
http://dx.doi.org/10.1155/2008/231897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2358942/
https://www.ncbi.nlm.nih.gov/pubmed/18464908
http://dx.doi.org/10.1155/2008/231897

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