Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm

L. Cui, J. Poon, S.K. Poon, K. Fan, H Chen, Junbin Gao, P. Kwan, Z. Ling

Research output: Other contribution to conferencePoster

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages27-28
Number of pages2
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Bioinformatics and Biomedicine - Shanghai, China, China
Duration: 18 Dec 201321 Dec 2013

Conference

ConferenceIEEE International Conference on Bioinformatics and Biomedicine
CountryChina
Period18/12/1321/12/13

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