文章基本信息

标题：Self-similarity in NMR Spectra: An Application in Assessing the Level of Cysteine
本地全文：下载
作者：Yoon Young Jung ; Youngja Park ; Dean P. Jones 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2010
卷号：8
期号：1
页码：1-19
出版社：Tingmao Publish Company
摘要：High resolution of NMR spectroscopic data of biosamples are a rich source of information on the metabolic response to physiological variation or pathological events. There are many advantages of NMR techniques such as the sample preparation is fast, simple and non-invasive. Statistical analysis of NMR spectra usually focuses on differential expression of large resonance intensity corresponding to abundant metabolites and involves several data reprocessing steps. In this paper we estimate functional components of spectra and test their significance using multiscale echniques. We also explore scaling in NMR spectra and use the systematic variability of scaling descriptors to predict the level of cysteine, an important precursor of glutathione, a control antioxidant in human body. This is motivated by high cost (in time and resources) of traditional methods for assessing cysteine level by high performance liquid chromatograph (HPLC).