Author/Authors :
Mortazavi-Tabatabaei، Seyed AbdolReza نويسنده Reseach Student Committee, Proteomics Research Center, Faculty of Paramedical Sciences ,Shahid Beheshti University of Medical Sciences, Tehran , , Ektefa، Fatemeh نويسنده Department of Chemistry, Tarbiat Modares University, Tehran , , Tafazzoli، Mohsen نويسنده Department of Chemistry, Sharif University of Technology, Tehran , , Rezaie-Tavirani، Mostafa نويسنده Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran , , Zali، Mohamad Reza نويسنده Research Center for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran , , Rostami Nejad، Mohammad نويسنده Gastroenterology and Liver Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran , , Rostami، Kamran نويسنده Department of Gastroenterology, Mid Staffordshire NHS Foundation Trust, Stafford , , Arefi Oskouie، Afsaneh نويسنده Department of Basic Science, Faculty of Paramedical Sciences , , Fathi، Fariba نويسنده Department of Chemistry ,
Abstract :
The factors such as disease can disrupt homeostasis, resulting in perturbations of endogenous biochemicals that are involved in key metabolic profiles. Metabonomics is useful technique to quantitative description of endogenous metabolites present in a biological sample such as urine, plasma and tissue. High resolution 1H nuclear magnetic resonance (NMR)-based metabonomics is a technique used to analyze and interpret multivariate metabolic data that correlate with changes of physiological conditions. Before any explanation for metabolite data, preprocessing the spectroscopic data is essential. In this paper, we show scaling effects in metabonomics investigation of patients diagnosed with Crohnʹs and Celiac disease. two techniques of scaling were applied as follows: mean centering and auto scaling. Results reveal that the mean centering is more useful to segregate patients from healthy subjects in the data set of Crohnʹs and Celiac disease.
