Name
Title | ||
|---|---|---|
A statistical framework for biomarker identification of biopsies using HR-MAS HSQC spectroscopy |
Abstract | ||
|---|---|---|
Cancer is one of the principal causes of morbidity and mortality worldwide. One of the strategies employed by the emergent science of metabolomics is cancer biomarker extraction. In this context, the technique of High-Resolution Magic Angle Spinning (HR-MAS) Nuclear Magnetic Resonance (NMR) spectra is widely used in metabolomic analysis involving tissue studies. Indeed, the NMR offers the potential to study molecular structures and their associations and interactions. In this paper, we develop a novel scheme for biomarker identification from 2D NMR spectrum. The biomarker identification is obtained by comparing 2D NMR spectral patterns in the NMR spectrum of the biopsy with specific library coding reference spectra of pure metabolites. Our comparison model is improved by combining probability and fuzzy theories to represent uncertainty and fuzzyness with our inference model. Validation experiments show that the proposed algorithm provides more accurate metabolite identification than the classical Support Vector Machine (SVM) method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872521 | Chicago, IL |
Keywords | Field | DocType |
biological tissues,biomedical NMR,cancer,fuzzy set theory,inference mechanisms,magic angle spinning,medical diagnostic computing,molecular biophysics,probability,statistical analysis,support vector machines,HR-MAS HSQC spectroscopy,SVM,biological tissues,biomarker identification,biopsy,cancer biomarker extraction,fuzzy theory,high-resolution magic angle spinning nuclear magnetic resonance spectra,inference model,metabolites,metabolomics,molecular structures,probability,specific library coding reference spectra,statistical framework,support vector machine,HR-MAS 2D NMR,biomarker identification,copula,fuzzy membership function | Heteronuclear single quantum coherence spectroscopy,Pattern recognition,Computer science,Support vector machine,Two-dimensional nuclear magnetic resonance spectroscopy,Metabolomics,Magic angle spinning,Biomarker (medicine),Artificial intelligence,Molecular biophysics,Nuclear magnetic resonance spectroscopy | Conference |
ISSN | ISBN | Citations |
1945-7928 E-ISBN : 978-1-4244-4128-0 | 978-1-4244-4128-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akram Belghith | 1 | 22 | 4.99 |
| Christophe Collet | 2 | 246 | 35.46 |
| Jean-paul Armspach | 3 | 81 | 5.20 |