Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure

With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches provide exciting opportunity to guide feature selection in a...

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Detalles Bibliográficos
Autores principales: Orlenko, Alena, Moore, Jason H., Orzechowski, Patryk, Olson, Randal S., Cairns, Junmei, Caraballo, Pedro J., Weinshilboum, Richard M., Wang, Liewei, Breitenstein, Matthew K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882490/
https://www.ncbi.nlm.nih.gov/pubmed/29218905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882490/
https://www.ncbi.nlm.nih.gov/pubmed/29218905

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