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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...
Autores principales: | Vinciotti, Veronica, Liu, Xiaohui, Turk, Rolf, de Meijer, Emile J, 't Hoen, Peter AC |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
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 |
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