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A dynamic Bayesian network for accurate detection of peptides from tandem mass spectra
A central problem in mass spectrometry analysis involves identifying, for each observed tandem mass spectrum, the corresponding generating peptide. We present a dynamic Bayesian network (DBN) toolkit that addresses this problem by using a machine learning approach. At the heart of this toolkit is a...
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| Publicado no: | J Proteome Res |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5116375/ https://ncbi.nlm.nih.gov/pubmed/27397138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jproteome.6b00290 |
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