An unsupervised machine learning method for assessing quality of tandem mass spectra
<p>Abstract</p> <p>Background</p> <p>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, th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2012-06-01
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| Series: | Proteome Science |