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Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypes
BACKGROUND: The identification of very small subsets of predictive variables is an important toπc that has not often been considered in the literature. In order to discover highly predictive yet compact gene set classifiers from whole genome expression data, a non-parametric, iterative algorithm, Sp...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3444418/ https://ncbi.nlm.nih.gov/pubmed/22616791 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2043-9113-2-13 |
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