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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2012
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| 主題: | |
| オンライン･アクセス: | 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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