Extracting biologically significant patterns from short time series gene expression data

BACKGROUND: Time series gene expression data analysis is used widely to study the dynamics of various cell processes. Most of the time series data available today consist of few time points only, thus making the application of standard clustering techniques difficult. RESULTS: We developed two new a...

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Detalles Bibliográficos
Autores principales: Tchagang, Alain B, Bui, Kevin V, McGinnis, Thomas, Benos, Panayiotis V
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2743670/
https://www.ncbi.nlm.nih.gov/pubmed/19695084
http://dx.doi.org/10.1186/1471-2105-10-255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2743670/
https://www.ncbi.nlm.nih.gov/pubmed/19695084
http://dx.doi.org/10.1186/1471-2105-10-255

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