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

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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Bibliographic Details
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
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Metabolites
Subjects:
glycomics
data normalization
gaussian graphical models
Online Access:https://www.mdpi.com/2218-1989/10/7/271

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https://www.mdpi.com/2218-1989/10/7/271

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