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From microarray to biology: an integrated experimental, statistical and in silico analysis of how the extracellular matrix modulates the phenotype of cancer cells
A statistically robust and biologically-based approach for analysis of microarray data is described that integrates independent biological knowledge and data with a global F-test for finding genes of interest that minimizes the need for replicates when used for hypothesis generation. First, each mic...
Autores principales: | Dozmorov, Mikhail G, Kyker, Kimberly D, Hauser, Paul J, Saban, Ricardo, Buethe, David D, Dozmorov, Igor, Centola, Michael B, Culkin, Daniel J, Hurst, Robert E |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2537575/ https://www.ncbi.nlm.nih.gov/pubmed/18793468 http://dx.doi.org/10.1186/1471-2105-9-S9-S4 |
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