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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Materias: | |
| 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 |