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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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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
National Institue of Environmental Health Sciences
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1247659/ https://ncbi.nlm.nih.gov/pubmed/15598613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1289/txg.7109 |
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