Linear predictive coding and its decision logic for early prediction of major adverse cardiac events using mass spectrometry data
Pham, Tuan, Wang, Honghui, Zhou, Xiaobo, Beck, Dominik, Brandl, Miriam, Hoehn, Gerard, Azok, Joseph, Brennan, Marie-Luise, Hazen, Stanley L., Li, King, and Wong, Stephen T.C. (2006) Linear predictive coding and its decision logic for early prediction of major adverse cardiac events using mass spectrometry data. In: Proceedings of the 2006 workshop on Intelligent systems for bioinformatics (73), pp. 61-66. From: 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), 4 December 2006, Hobart, TAS, Australia.
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Proteomics is an emerging field of modern biotechnology and an attractive research area in bioinformatics. Protein annotation by mass spectrometry has recently been utilized for the classification and prediction of diseases. In this paper we apply the theory of linear predictive coding and its decision logic for the prediction of major adverse cardiac risk using mass spectra. The new method was tested with a small set of mass spectrometry data. The initial experimental results are found promising for the prediction and show the implication of the potential use of the data for biomarker discovery.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||major adverse cardiac events; mass spectra; prediction|
|Date Deposited:||01 Dec 2009 01:17|
|SEO Codes:||92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 34%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 33%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 33%