Artificial neural networks for classification in metabolomic studies of whole cells using 1H Nuclear Magnetic Resonance

Journal of Biomedicine and Biotechnology

Volumn 2011, Issue , 2011, Pages

  Brougham, D F ^a   Ivanova, G ^a   Gottschalk, M ^a   Collins, D M ^a   Eustace, A J ^a   O'Connor, R ^a,b   Havel, J ^c  

^a DUBLIN CITY UNIVERSITY   (Ireland)

^b UNIVERSITY OF PORTO   (Portugal)

^c MASARYK UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER CELL CULTURE; CANCER CLASSIFICATION; DRUG RESISTANCE; HUMAN; HUMAN CELL; LUNG CARCINOMA; METABOLOMICS; PROTON NUCLEAR MAGNETIC RESONANCE; WHOLE CELL; CELL LINE; CELLS; CLASSIFICATION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY;

CELL LINE; CELLS; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 77957844973     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2011/158094     Document Type: Article

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