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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Detalles Bibliográficos
Autores principales: Zhao, Chen, Shi, Leming, Tong, Weida, Shaughnessy, John D, Oberthuer, André, Pusztai, Lajos, Deng, Youping, Symmans, W Fraser, Shi, Tieliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
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

Internet

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

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