Machine Learning in Automated Monitoring of Metabolic Changes Accompanying the Differentiation of Adipose-Tissue-Derived Human Mesenchymal Stem Cells Employing (1)H-(1)H TOCSY NMR

The ability to monitor the dynamics of stem cell differentiation is a major goal for understanding biochemical evolution pathways. Automating the process of metabolic profiling using 2D NMR helps us to understand the various differentiation behaviors of stem cells, and therefore sheds light on the c...

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Detalles Bibliográficos
Autores principales: Migdadi, Lubaba, Sharar, Nour, Jafar, Hanan, Telfah, Ahmad, Hergenröder, Roland, Wöhler, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055867/
https://www.ncbi.nlm.nih.gov/pubmed/36984792
http://dx.doi.org/10.3390/metabo13030352

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055867/
https://www.ncbi.nlm.nih.gov/pubmed/36984792
http://dx.doi.org/10.3390/metabo13030352

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