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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Hess, Kenneth R, Wei, Caimiao, Qi, Yuan, Iwamoto, Takayuki, Symmans, W Fraser, Pusztai, Lajos
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2011
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3245512/
https://ncbi.nlm.nih.gov/pubmed/22132775
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-463
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