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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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Detalhes bibliográficos
Main Authors: Lin, Wenjun, Wang, Jianxin, Zhang, Wen-Jun, Wu, Fang-Xiang
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2012
Assuntos:
Acesso em linha: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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