Fast and easy analysis of a large number of complex samples is
shared by all LC-MS-based metabolomics applications that are
used in drug and clinical research, proteomics and food sciences.
All of these techniques require a way to detect compounds that
differentiate samples trough the use of pattern recognition techniques
that can filter information from various sample groups. ProfileAnalysis
uses both supervised and unsupervised methods in order to enable
simple and easy analysis. It is equipped with a full range of tools
intended for data pre-processing, in-depth statistical analysis,
identification and feedback experiments. It is equally suited for
beginners and experts in the field of metabloomics.