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Knowledge-based variable selection for learning rules from proteomic data
BACKGROUND: The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745687/ https://www.ncbi.nlm.nih.gov/pubmed/19761570 http://dx.doi.org/10.1186/1471-2105-10-S9-S16 |