Assessment of label-free quantification and missing value imputation for proteomics in non-human primates

BACKGROUND: Reliable and effective label-free quantification (LFQ) analyses are dependent not only on the method of data acquisition in the mass spectrometer, but also on the downstream data processing, including software tools, query database, data normalization and imputation. In non-human primate...

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Detalles Bibliográficos
Autores principales: Hamid, Zeeshan, Zimmerman, Kip D., Guillen-Ahlers, Hector, Li, Cun, Nathanielsz, Peter, Cox, Laura A., Olivier, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264528/
https://www.ncbi.nlm.nih.gov/pubmed/35804317
http://dx.doi.org/10.1186/s12864-022-08723-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264528/
https://www.ncbi.nlm.nih.gov/pubmed/35804317
http://dx.doi.org/10.1186/s12864-022-08723-1

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