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Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile
BACKGROUND: Microarray data have been used for gene signature selection to predict clinical outcomes. Many studies have attempted to identify factors that affect models' performance with only little success. Fine-tuning of model parameters and optimizing each step of the modeling process often...
| 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/PMC3287499/ https://www.ncbi.nlm.nih.gov/pubmed/22369035 http://dx.doi.org/10.1186/1471-2164-12-S5-S3 |