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Gene selection using iterative feature elimination random forests for survival outcomes
Although many feature selection methods for classification have been developed, there is a need to identify genes in high-dimensional data with censored survival outcomes. Traditional methods for gene selection in classification problems have several drawbacks. First, the majority of the gene select...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2012
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3495190/ https://ncbi.nlm.nih.gov/pubmed/22547432 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2012.63 |
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