Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

BACKGROUND: Time course data from microarrays and high-throughput sequencing experiments require simple, computationally efficient and powerful statistical models to extract meaningful biological signal, and for tasks such as data fusion and clustering. Existing methodologies fail to capture either...

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Detalles Bibliográficos
Autores principales: Hensman, James, Lawrence, Neil D, Rattray, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766667/
https://www.ncbi.nlm.nih.gov/pubmed/23962281
http://dx.doi.org/10.1186/1471-2105-14-252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766667/
https://www.ncbi.nlm.nih.gov/pubmed/23962281
http://dx.doi.org/10.1186/1471-2105-14-252

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