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Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins
[Image: see text] Label-free quantification has become a common-practice in many mass spectrometry-based proteomics experiments. In recent years, we and others have shown that spectral clustering can considerably improve the analysis of (primarily large-scale) proteomics data sets. Here we show that...
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| Veröffentlicht in: | J Proteome Res |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Chemical Society
2019
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| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6456873/ https://ncbi.nlm.nih.gov/pubmed/30859831 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jproteome.8b00377 |
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