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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...
Autores principales: | Brougham, D. F., Ivanova, G., Gottschalk, M., Collins, D. M., Eustace, A. J., O'Connor, R., Havel, J. |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
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 |
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