Classification of microarray data using gene networks

BACKGROUND: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) and their biological significance is often difficult. Currently, the standard approach is to map a posteriori the results...

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Detalles Bibliográficos
Autores principales: Rapaport, Franck, Zinovyev, Andrei, Dutreix, Marie, Barillot, Emmanuel, Vert, Jean-Philippe
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797191/
https://www.ncbi.nlm.nih.gov/pubmed/17270037
http://dx.doi.org/10.1186/1471-2105-8-35

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797191/
https://www.ncbi.nlm.nih.gov/pubmed/17270037
http://dx.doi.org/10.1186/1471-2105-8-35

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