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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Detalles Bibliográficos
Autores principales: Griss, Johannes, Stanek, Florian, Hudecz, Otto, Dürnberger, Gerhard, Perez-Riverol, Yasset, Vizcaíno, Juan Antonio, Mechtler, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456873/
https://www.ncbi.nlm.nih.gov/pubmed/30859831
http://dx.doi.org/10.1021/acs.jproteome.8b00377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456873/
https://www.ncbi.nlm.nih.gov/pubmed/30859831
http://dx.doi.org/10.1021/acs.jproteome.8b00377

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