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An unsupervised machine learning method for assessing quality of tandem mass spectra
BACKGROUND: In a single proteomic project, tandem mass spectrometers can produce hundreds of millions of tandem mass spectra. However, majority of tandem mass spectra are of poor quality, it wastes time to search them for peptides. Therefore, the quality assessment (before database search) is very u...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3380733/ https://ncbi.nlm.nih.gov/pubmed/22759570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1477-5956-10-S1-S12 |
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