Recovery of metabolomic spectral sources using non-negative matrix factorization

Shuyan Du, Paul Sajda, Radka Stoyanova, Truman R. Brown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

1H magnetic resonance spectra (MRS) of biofluids contain rich biochemical information about the metabolic status of an organism. Through the application of pattern recognition and classification algorithms, such data have been shown to provide information for disease diagnosis as well as the effects of potential therapeutics. In this paper we describe a novel approach, using non-negative matrix factorization (NMF), for rapidly identifying metabolically meaningful spectral patterns in 1H MRS. We show that the intensities of these identified spectral patterns can be related to the onset of, and recovery from, toxicity in both a time-related and dose-related fashion. These patterns can be seen as a new type of biomarker for the biological effect under study. We demonstrate, using k-means clustering, that the recovered patterns can be used to characterize the metabolic status of the animal during the experiment.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages1095-1098
Number of pages4
Volume7 VOLS
StatePublished - Dec 1 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Du, S., Sajda, P., Stoyanova, R., & Brown, T. R. (2005). Recovery of metabolomic spectral sources using non-negative matrix factorization. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 1095-1098). [1616610]