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Iterative feature removal yields highly discriminative pathways
BACKGROUND: We introduce Iterative Feature Removal (IFR) as an unbiased approach for selecting features with diagnostic capacity from large data sets. The algorithm is based on recently developed tools in machine learning that are driven by sparse feature selection goals. When applied to genomic dat...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3879090/ https://ncbi.nlm.nih.gov/pubmed/24274115 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-14-832 |
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