Document Server@UHasselt >
School for Information Technology >
Master theses >
Please use this identifier to cite or link to this item:
|Title: ||Development of mutivariate analysis tools for NMR metabonomics data|
|Authors: ||Dubois, Nicolas|
|Advisors: ||SHKEDY, Ziv|
|Issue Date: ||2010|
|Publisher: ||tUL Diepenbeek|
|Abstract: ||The response of an organism to stimuli that cause diseases or injuries is utterly complex and unpredictable. By measuring and mathematically modeling changes in the levels of the products of metabolism found in biological fluids and tissues, metabonomics offers a fresh insight into the effects of diet, drugs and disease(Nicholson & Lindon, 2008). This measurement is usually achieved by NMR.Thanks to its speed, low-cost and low invasiveness, metabonomics is a very helpful methodology in many fields of the health care or food industry.
The aim of this thesis is twofold. Firstly, the biological variability is assessed and compared with the experimental one when NMR is used. Secondly, a new version of Bubble which contains some additional treatments is developed.|
|Notes: ||Master of Statistics-Bioinformatics|
|Type: ||Theses and Dissertations|
|Appears in Collections: ||Master theses|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.