Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma

BACKGROUND: Numerous microarray-based prognostic gene expression signatures of primary neoplasms have been published but often with little concurrence between studies, thus limiting their clinical utility. We describe a methodology using logistic regression, which circumvents limitations of conventi...

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Detalles Bibliográficos
Autores principales: Mount, David W, Putnam, Charles W, Centouri, Sara M, Manziello, Ann M, Pandey, Ritu, Garland, Linda L, Martinez, Jesse D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110620/
https://www.ncbi.nlm.nih.gov/pubmed/24916928
http://dx.doi.org/10.1186/1755-8794-7-33

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110620/
https://www.ncbi.nlm.nih.gov/pubmed/24916928
http://dx.doi.org/10.1186/1755-8794-7-33

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