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Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
BACKGROUND: The metabolome is the best representation of cancer phenotypes. Gene expression can be considered a confounding covariate affecting metabolite levels. Data integration across metabolomics and genomics to establish the biological relevance of cancer metabolism is challenging. This study a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990231/ https://www.ncbi.nlm.nih.gov/pubmed/36879264 http://dx.doi.org/10.1186/s40246-023-00465-9 |