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.
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
2nd International Conference on Pharmaceutical Research & Innovations in Pharma Industry
May 30 - May 31, 2019