Artificial Neural Networks for Classification in Metabolomic Studies of Whole Cells Using (1)H Nuclear Magnetic Resonance

We report the successful classification, by artificial neural networks (ANNs), of ( 1)H NMR spectroscopic data recorded on whole-cell culture samples of four different lung carcinoma cell lines, which display different drug resistance patterns. The robustness of the approach was demonstrated by its...

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Detalles Bibliográficos
Autores principales: Brougham, D. F., Ivanova, G., Gottschalk, M., Collins, D. M., Eustace, A. J., O'Connor, R., Havel, J.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945645/
https://www.ncbi.nlm.nih.gov/pubmed/20886062
http://dx.doi.org/10.1155/2011/158094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945645/
https://www.ncbi.nlm.nih.gov/pubmed/20886062
http://dx.doi.org/10.1155/2011/158094

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