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Analytic Correlation Filtration: A New Tool to Reduce Analytical Complexity of Metabolomic Datasets
Metabolomics generates massive and complex data. Redundant different analytical species and the high degree of correlation in datasets is a constraint for the use of data mining/statistical methods and interpretation. In this context, we developed a new tool to detect analytical correlation into dat...
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| Udgivet i: | Metabolites |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6918187/ https://ncbi.nlm.nih.gov/pubmed/31653057 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/metabo9110250 |
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