Artificial Neural Networks for Classification in Metabolomic Studies of Whole Cells Using1H Nuclear Magnetic Resonance
Open Access
- 15 September 2010
- journal article
- research article
- Published by Hindawi Limited in Journal of Biomedicine and Biotechnology
- Vol. 2011, 1-8
- https://doi.org/10.1155/2011/158094
Abstract
We report the successful classification, by artificial neural networks (ANNs), of 1H 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 ability to classify the cell line correctly in 100% of cases, despite the demonstrated presence of operator-induced sources of variation, and irrespective of which spectra are used for training and for validation. The study demonstrates the potential of ANN for lung carcinoma classification in realistic situations.Keywords
Funding Information
- Higher Education Authority
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