Cargando…
(1)H NMR Signals from Urine Excreted Protein Are a Source of Bias in Probabilistic Quotient Normalization
[Image: see text] Normalization to account for variation in urinary dilution is crucial for interpretation of urine metabolic profiles. Probabilistic quotient normalization (PQN) is used routinely in metabolomics but is sensitive to systematic variation shared across a large proportion of the spectr...
Autores principales: | Correia, Gonçalo D. S., Takis, Panteleimon G., Sands, Caroline J., Kowalka, Anna M., Tan, Tricia, Turtle, Lance, Ho, Antonia, Semple, Malcolm G., Openshaw, Peter J. M., Baillie, J. Kenneth, Takáts, Zoltán, Lewis, Matthew R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118196/ https://www.ncbi.nlm.nih.gov/pubmed/35503092 http://dx.doi.org/10.1021/acs.analchem.2c00466 |
Ejemplares similares
-
SMolESY: an efficient and quantitative alternative to on-instrument macromolecular (1)H-NMR signal suppression
por: Takis, Panteleimon G., et al.
Publicado: (2020) -
Cancer datasets and the SARS-CoV-2 pandemic: establishing principles for collaboration
por: Palmieri, Carlo, et al.
Publicado: (2020) -
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles
por: Takis, Panteleimon G, et al.
Publicado: (2022) -
Deconvoluting interrelationships between concentrations and chemical shifts in urine provides a powerful analysis tool
por: Takis, Panteleimon G., et al.
Publicado: (2017) -
Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
por: Takis, Panteleimon G., et al.
Publicado: (2018)