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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...
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| Main Authors: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3287499/ https://ncbi.nlm.nih.gov/pubmed/22369035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-12-S5-S3 |
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