Exploring the transcription factor activity in high-throughput gene expression data using RLQ analysis

BACKGROUND: Interpretation of gene expression microarray data in the light of external information on both columns and rows (experimental variables and gene annotations) facilitates the extraction of pertinent information hidden in these complex data. Biologists classically interpret genes of intere...

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Detalles Bibliográficos
Autores principales: Baty, Florent, Rüdiger, Jochen, Miglino, Nicola, Kern, Lukas, Borger, Peter, Brutsche, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686578/
https://www.ncbi.nlm.nih.gov/pubmed/23742070
http://dx.doi.org/10.1186/1471-2105-14-178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686578/
https://www.ncbi.nlm.nih.gov/pubmed/23742070
http://dx.doi.org/10.1186/1471-2105-14-178

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