Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence

Class prediction using “omics” data is playing an increasing role in toxicogenomics, diagnosis/prognosis, and risk assessment. These data are usually noisy and represented by relatively few samples and a very large number of predictor variables (e.g., genes of DNA microarray data or m/z peaks of mas...

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Detalles Bibliográficos
Autores principales: Tong, Weida, Xie, Qian, Hong, Huixiao, Fang, Hong, Shi, Leming, Perkins, Roger, Petricoin, Emanuel F.
Formato: Texto
Lenguaje:English
Publicado: National Institue of Environmental Health Sciences 2004
Materias:
Toxicogenomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247659/
https://www.ncbi.nlm.nih.gov/pubmed/15598613
http://dx.doi.org/10.1289/txg.7109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247659/
https://www.ncbi.nlm.nih.gov/pubmed/15598613
http://dx.doi.org/10.1289/txg.7109

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