In order to separate a 3D chromatography, which is generated from High Performance Liquid Chromatography-Diode Array Detector (HPLC-DAD), into chromatograms and spectra, we proposed a model called parallel Independent Component Analysis constrained by Reference Curve (pICARC), which transforms the separation problem to a multi-parameter optimization issue. Then, A new algorithm named multi-areas Genetic Algorithm (mGA) is developed to search multiple solutions in parallel. It was demonstrated that our approach could successfully separate a given HPLC-DAD dataset into chromatograms and spectra with little errors and in short computational time.
|Number of pages||2|
|Publication status||Published - 2013|
|Event||IEEE International Conference on Bioinformatics and Biomedicine - Shanghai, China, China|
Duration: 18 Dec 2013 → 21 Dec 2013
|Conference||IEEE International Conference on Bioinformatics and Biomedicine|
|Period||18/12/13 → 21/12/13|