Bayesian model selection for mining mass spectrometry data.
basic_science · Level V
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- Record sourced from PubMed, PMID 16139743.
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Abstract
A procedure for learning a probabilistic model from mass spectrometry data that accounts for domain specific noise and mitigates the complexity of Bayesian structure learning is presented. We evaluate the algorithm by applying the learned probabilistic model to microorganism detection from mass spectrometry data.
Medical subject headings
- Bayes Theorem
- Databases, Factual
- Mass Spectrometry
- Models, Statistical