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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5919515/ https://ncbi.nlm.nih.gov/pubmed/29698490 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195939 |
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