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...

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Detalles Bibliográficos
Autores principales: Li, Chung-I., Yeh, Yu-Min, Tsai, Yi-Shan, Huang, Tzu-Hsuan, Shen, Meng-Ru, Lin, Peng-Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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