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Triqler for MaxQuant: Enhancing Results from MaxQuant by Bayesian Error Propagation and Integration
[Image: see text] Error estimation for differential protein quantification by label-free shotgun proteomics is challenging due to the multitude of error sources, each contributing uncertainty to the final results. We have previously designed a Bayesian model, Triqler, to combine such error terms int...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical
Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041382/ https://www.ncbi.nlm.nih.gov/pubmed/33661646 http://dx.doi.org/10.1021/acs.jproteome.0c00902 |