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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...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2009
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2745687/ https://ncbi.nlm.nih.gov/pubmed/19761570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-S9-S16 |
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