metGWAS 1.0: an R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome-wide association studies

MOTIVATION: The method of genome-wide association studies (GWAS) and metabolomics combined provide an quantitative approach to pinpoint metabolic pathways and genes linked to specific diseases; however, such analyses require both genomics and metabolomics datasets from the same individuals/samples....

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Detalles Bibliográficos
Autores principales: Khan, Saifur R, Obersterescu, Andreea, Gunderson, Erica P, Razani, Babak, Wheeler, Michael B, Cox, Brian J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491949/
https://www.ncbi.nlm.nih.gov/pubmed/37610350
http://dx.doi.org/10.1093/bioinformatics/btad523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491949/
https://www.ncbi.nlm.nih.gov/pubmed/37610350
http://dx.doi.org/10.1093/bioinformatics/btad523

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