Process Complex Metabonomic and Metabolomic Multivariate Data
MarkerLynx™XS Application Manager processes complex multivariate data from LC/MS, LC/MS/MS, GC/MS, and GC/MS/MS metabonomic and metabolomic studies.
MarkerLynx XS performs:
3-dimensional peak integration, data set alignment and incorporates multivariate statistical tools. The Principal Components Analysis (PCA) algorithm is automatically applied to the processed data sets. This gives you multidimensional visualization of biochemical patterns so you can identify potential biomarkers responsible for variations in the data set.
Perform Advanced Multivariate Statistical Analysis and Visualization
Direct integration with Umetrics Simca-P extends your data analysis capabilities, including Orthogonal Projection Least Squares (OPLS).
Search Databases to Identify Biomarkers
Search ChemSpider, ChemFolder, or your own databases to identify potential biomarkers discovered by your analysis.