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Experimental Null Method to Guide the Development of Technical Procedures and to Control False-Positive Discovery in Quantitative Proteomics

Comprehensive and accurate evaluation of data quality and false-positive biomarker discovery is critical to direct the method development/optimization for quantitative proteomics, which nonetheless remains challenging largely due to the high complexity and unique features of proteomic data. Here we...

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Detalhes bibliográficos
Publicado no:J Proteome Res
Main Authors: Shen, Xiaomeng, Hu, Qiang, Li, Jun, Wang, Jianmin, Qu, Jun
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5905339/
https://ncbi.nlm.nih.gov/pubmed/26051676
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jproteome.5b00200
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