Fusing metabolomics data sets with heterogeneous measurement errors

Combining different metabolomics platforms can contribute significantly to the discovery of complementary processes expressed under different conditions. However, analysing the fused data might be hampered by the difference in their quality. In metabolomics data, one often observes that measurement...

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Detalles Bibliográficos
Autores principales: Waaijenborg, Sandra, Korobko, Oksana, Willems van Dijk, Ko, Lips, Mirjam, Hankemeier, Thomas, Wilderjans, Tom F., Smilde, Age K., Westerhuis, Johan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919515/
https://www.ncbi.nlm.nih.gov/pubmed/29698490
http://dx.doi.org/10.1371/journal.pone.0195939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919515/
https://www.ncbi.nlm.nih.gov/pubmed/29698490
http://dx.doi.org/10.1371/journal.pone.0195939

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