IntLIM: integration using linear models of metabolomics and gene expression data

BACKGROUND: Integration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these data are increasingly collected in large (> 100 partici...

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Detalles Bibliográficos
Autores principales: Siddiqui, Jalal K., Baskin, Elizabeth, Liu, Mingrui, Cantemir-Stone, Carmen Z., Zhang, Bofei, Bonneville, Russell, McElroy, Joseph P., Coombes, Kevin R., Mathé, Ewy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838881/
https://www.ncbi.nlm.nih.gov/pubmed/29506475
http://dx.doi.org/10.1186/s12859-018-2085-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838881/
https://www.ncbi.nlm.nih.gov/pubmed/29506475
http://dx.doi.org/10.1186/s12859-018-2085-6

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