Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference

Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due to fluctuations in the experimental conditions. The removal of this non-biological signal from the data is referred to as normalization. Contrary to other omics data types, a systematic evalua...

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Main Authors: Elisa Benedetti, Nathalie Gerstner, Maja Pučić-Baković, Toma Keser, Karli R. Reiding, L. Renee Ruhaak, Tamara Štambuk, Maurice H. J. Selman, Igor Rudan, Ozren Polašek, Caroline Hayward, Marian Beekman, Eline Slagboom, Manfred Wuhrer, Malcolm G. Dunlop, Gordan Lauc, Jan Krumsiek
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-07-01
Colecção:Metabolites
Assuntos:
glycomics
data normalization
gaussian graphical models
Acesso em linha:https://www.mdpi.com/2218-1989/10/7/271
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