Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems

BACKGROUND: Our goal was to examine how various aspects of a gene signature influence the success of developing multi-gene prediction models. We inserted gene signatures into three real data sets by altering the expression level of existing probe sets. We varied the number of probe sets perturbed (s...

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Detalles Bibliográficos
Autores principales: Hess, Kenneth R, Wei, Caimiao, Qi, Yuan, Iwamoto, Takayuki, Symmans, W Fraser, Pusztai, Lajos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245512/
https://www.ncbi.nlm.nih.gov/pubmed/22132775
http://dx.doi.org/10.1186/1471-2105-12-463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245512/
https://www.ncbi.nlm.nih.gov/pubmed/22132775
http://dx.doi.org/10.1186/1471-2105-12-463

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