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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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| Vydáno v: | Metabolites |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2019
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| Témata: | |
| On-line přístup: | 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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