Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample

Journal of Computational Biology

Volumn 14, Issue 9, 2007, Pages 1176-1184

  Martin, Francis L ^a   German, Matthew J ^b   Wit, Ernst ^c   Fearn, Thomas ^d   Ragavan, Narasimhan ^e   Pollock, Hubert M ^f  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

^e LANCASHIRE TEACHING HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^f LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Adenocarcinoma; Biomedical; Clustering; LDA; Microspectroscopy; Misclassification

Indexed keywords

ARTICLE; CHEMICAL BOND; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; HUMAN; HUMAN TISSUE; INFRARED MICROSPECTROSCOPY; INFRARED SPECTROSCOPY; INTERMETHOD COMPARISON; MALE; MICROANALYSIS; MOLECULAR DYNAMICS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; EPITHELIAL CELLS; HUMANS; MALE; PRINCIPAL COMPONENT ANALYSIS; PROSTATIC NEOPLASMS; SPECTROPHOTOMETRY, INFRARED;

EID: 36048979014     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2007.0057     Document Type: Article

References (4)

1. Fearn, T. 2002. Discriminant analysis, 2086-2093. In: Chalmers, J.M., and Griffiths, P.R., eds., Handbook of Vibrational Spectroscopy. Vol. 3. Wiley, New York.
2. German, M.J., Hammiche, A., Ragavan, N., et al. 2006. Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell. Biophys. J. 90, 3783-3795.
3. Walsh, M.J., Singh, M., Pollock, H.M., et al. 2007. ATR microspectroscopy with multivariate analysis segregates grades of exfoliative cervical cytology. Biochem. Biophys. Res. Commun. 352, 213-219.
4. Wit, E., and McClure, J. 2004. Statistics for Microarrays. Wiley, Chichester, UK.