A modified data normalization method for GC-MS-based metabolomics to minimize batch variation

The goal of metabolomics data pre-processing is to eliminate systematic variation, such that biologically-related metabolite signatures are detected by statistical pattern recognition. Although several methods have been developed to tackle the issue of batch-to-batch variation, each method has its a...

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Detalles Bibliográficos
Autores principales: Chen, Mingjie, Rao, R Shyama Prasad, Zhang, Yiming, Zhong, Cathy Xiaoyan, Thelen, Jay J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149678/
https://www.ncbi.nlm.nih.gov/pubmed/25184108
http://dx.doi.org/10.1186/2193-1801-3-439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149678/
https://www.ncbi.nlm.nih.gov/pubmed/25184108
http://dx.doi.org/10.1186/2193-1801-3-439

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