Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments

BACKGROUND: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage of the fact that time is a continuous variable, and existing clustering methods often group biologically unrelated genes t...

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Detalles Bibliográficos
Autores principales: Liu, Hua, Tarima, Sergey, Borders, Aaron S, Getchell, Thomas V, Getchell, Marilyn L, Stromberg, Arnold J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1127068/
https://www.ncbi.nlm.nih.gov/pubmed/15850479
http://dx.doi.org/10.1186/1471-2105-6-106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1127068/
https://www.ncbi.nlm.nih.gov/pubmed/15850479
http://dx.doi.org/10.1186/1471-2105-6-106

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