%polynova_2way: A SAS macro for implementation of mixed models for metabolomics data

The generation of large metabolomic data sets has created a high demand for software that can fit statistical models to one-metabolite-at-a-time on hundreds of metabolites. We provide the %polynova_2way macro in SAS to identify metabolites differentially expressed in study designs with a two-way fac...

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Detalles Bibliográficos
Autores principales: Manjarin, Rodrigo, Maj, Magdalena A., La Frano, Michael R., Glanz, Hunter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737964/
https://www.ncbi.nlm.nih.gov/pubmed/33320899
http://dx.doi.org/10.1371/journal.pone.0244013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737964/
https://www.ncbi.nlm.nih.gov/pubmed/33320899
http://dx.doi.org/10.1371/journal.pone.0244013

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