The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

BACKGROUND: The number of gene expression studies in the public domain is rapidly increasing, representing a highly valuable resource. However, dataset-specific bias precludes meta-analysis at the raw transcript level, even when the RNA is from comparable sources and has been processed on the same m...

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Detalles Bibliográficos
Autores principales: Sims, Andrew H, Smethurst, Graeme J, Hey, Yvonne, Okoniewski, Michal J, Pepper, Stuart D, Howell, Anthony, Miller, Crispin J, Clarke, Robert B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2563019/
https://www.ncbi.nlm.nih.gov/pubmed/18803878
http://dx.doi.org/10.1186/1755-8794-1-42

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2563019/
https://www.ncbi.nlm.nih.gov/pubmed/18803878
http://dx.doi.org/10.1186/1755-8794-1-42

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