Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data

BACKGROUND: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Most statistical methods used in the literature do not fully exploit the temporal ordering in the dataset and are not suite...

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Detalles Bibliográficos
Autores principales: Vinciotti, Veronica, Liu, Xiaohui, Turk, Rolf, de Meijer, Emile J, 't Hoen, Peter AC
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1450310/
https://www.ncbi.nlm.nih.gov/pubmed/16584545
http://dx.doi.org/10.1186/1471-2105-7-183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1450310/
https://www.ncbi.nlm.nih.gov/pubmed/16584545
http://dx.doi.org/10.1186/1471-2105-7-183

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