EMA - A R package for Easy Microarray data analysis

BACKGROUND: The increasing number of methodologies and tools currently available to analyse gene expression microarray data can be confusing for non specialist users. FINDINGS: Based on the experience of biostatisticians of Institut Curie, we propose both a clear analysis strategy and a selection of...

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Detalles Bibliográficos
Autores principales: Servant, Nicolas, Gravier, Eleonore, Gestraud, Pierre, Laurent, Cecile, Paccard, Caroline, Biton, Anne, Brito, Isabel, Mandel, Jonas, Asselain, Bernard, Barillot, Emmanuel, Hupé, Philippe
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987873/
https://www.ncbi.nlm.nih.gov/pubmed/21047405
http://dx.doi.org/10.1186/1756-0500-3-277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987873/
https://www.ncbi.nlm.nih.gov/pubmed/21047405
http://dx.doi.org/10.1186/1756-0500-3-277

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