Cargando…
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...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
National Institue of Environmental Health Sciences
2004
|
| Materias: | |
| 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 |