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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918187/ https://www.ncbi.nlm.nih.gov/pubmed/31653057 http://dx.doi.org/10.3390/metabo9110250 |