GEDI: a user-friendly toolbox for analysis of large-scale gene expression data

BACKGROUND: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, and software implementations that require advanced computer programming skills. Researchers from other areas may experienc...

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Detalles Bibliográficos
Autores principales: Fujita, André, Sato, João R, Ferreira, Carlos E, Sogayar, Mari C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194737/
https://www.ncbi.nlm.nih.gov/pubmed/18021455
http://dx.doi.org/10.1186/1471-2105-8-457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194737/
https://www.ncbi.nlm.nih.gov/pubmed/18021455
http://dx.doi.org/10.1186/1471-2105-8-457

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