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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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Auteurs principaux: Lustgarten, Jonathan L, Visweswaran, Shyam, Bowser, Robert P, Hogan, William R, Gopalakrishnan, Vanathi
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2009
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Accès en ligne: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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