Kelly, Jemma and Trevisan, Julio and Scott, A. D. and Carmichael, P. L. and Pollock, Hubert M. and Martin-Hirsch, P. L. and Martin, Frank L. (2011) Biospectroscopy to metabolically profile biomolecular structure : a multi-stage approach linking computational analysis with biomarkers. Journal of Proteome Research, 10 (4). pp. 1437-1448. ISSN 1535-3893
Full text not available from this repository.Abstract
Biospectroscopy is employed to derive absorbance spectra representative of biomolecules present in biological samples. The mid-infrared region (λ = 2.5 μm – 25μm) is absorbed to give a biochemical-cell fingerprint (ṽ = 1800 cm-1 – 900 cm-1). Cellular material produces complex spectra due to the variety of chemical bonds present. The complexity and size of spectral data sets warrant multivariate analysis for data reduction, interpretation and classification. Various multivariate analyses are available including principal component analysis (PCA), partial least squares (PLS), linear discriminant analysis (LDA) and evolving fuzzy rule-based classifier (eClass). Interpretation of both visual and numerical results facilitates biomarker identification, cell-type discrimination, prediction and mechanistic of cellular behaviour. Biospectroscopy is a high-throughput non-invasive technology. A comparison of biomarkers/mechanistic knowledge determined from conventional approaches to biospectroscopy coupled with multivariate analysis often provides complementary answers and a novel approach for diagnosis of disease and cell biology.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Journal of Proteome Research |
| Uncontrolled Keywords: | biomarkers ; biospectroscopy ; infrared spectroscopy ; multivariate analysis ; principal component analysis ; screening ; diagnosis ; machine learning |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QC Physics |
| Departments: | Faculty of Science and Technology > Lancaster Environment Centre Faculty of Science and Technology > School of Computing & Communications Faculty of Science and Technology > Physics |
| ID Code: | 34433 |
| Deposited By: | Dr H M Pollock |
| Deposited On: | 02 Nov 2010 16:12 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 17:37 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/34433 |
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