Using Expert Driven Machine Learning to Enhance Dynamic Metabolomics Data Analysis

Data analysis for metabolomics is undergoing rapid progress thanks to the proliferation of novel tools and the standardization of existing workflows. As untargeted metabolomics datasets and experiments continue to increase in size and complexity, standardized workflows are often not sufficiently sop...

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Detalles Bibliográficos
Autores principales: Beirnaert, Charlie, Peeters, Laura, Meysman, Pieter, Bittremieux, Wout, Foubert, Kenn, Custers, Deborah, Van der Auwera, Anastasia, Cuykx, Matthias, Pieters, Luc, Covaci, Adrian, Laukens, Kris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468718/
https://www.ncbi.nlm.nih.gov/pubmed/30897797
http://dx.doi.org/10.3390/metabo9030054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468718/
https://www.ncbi.nlm.nih.gov/pubmed/30897797
http://dx.doi.org/10.3390/metabo9030054

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