Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure

Several algorithms for the normalization of proteomic data are currently available, each based on a priori assumptions. Among these is the extent to which differential expression (DE) can be present in the dataset. This factor is usually unknown in explorative biomarker screens. Simultaneously, the...

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Veröffentlicht in:	Molecular & cellular proteomics 2022-09, Vol.21 (9), p.100269-100269, Article 100269
Hauptverfasser:	Dressler, Franz F., Brägelmann, Johannes, Reischl, Markus, Perner, Sven
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis of Variance Computer Simulation Data normalization Differential expression analysis Gene Expression Profiling - methods Omics data Protein quantitation Proteins Proteomics Proteomics - methods
Online-Zugang:	Volltext
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