Genetic Algorithms Successfully Select Potential Biomarkers in Mass Spectrometry-Based Metabolomics
Poster Apr 25, 2008
Combination of the comprehensive metabolic profiling utilizing three complementary analytical methods for MS data acquisition and Genetic Algorithms technique for feature selection presenting intriguing avenue for finding and exploration small subsets of strong classifiers.
Automation of Sample Preparation for Metabolomic Analysis Using Robotic PlatformPoster
We developed an automated sample preparation protocol based on a robotic platform PAL RTC (CTC Analytics AG, Zwingen Switzerland), which represent a modified Bligh and Dyer method producing samples for both hydrophilic metabolomics using GC-MS and lipidomics using SFC-MS simultaneously.READ MORE
IntelliXtract 2.0: Simplified Intelligent Component Extraction and DetectionPoster
*Simplified detection and Component Extraction algorithm from LC-MS and GC-MS datasets
*New improved algorithm based on ion threads
*Reduced number of parameters to select for analysis
*Reduced false positives leading to reduced analysis time
LC-SWATH/MS Metabolomics Platform with Hyphenation of Extraction for the Analysis of Polar and Non-polar Metabolites in Biological SamplesPoster
Automated robotic sample preparation with hyphenated dual LC-SWATH/MS analysis for lipids and polar metabolites.