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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lizhi Cui Poon, J. Poon, S.K. Kei Fan Hao Chen Kwan, P. Junbin Coa Zhihao Ling |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia (Lizhi Cui; Poon, J.; Poon, S.K.; Kei Fan; Hao Chen) || Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China (Zhihao Ling) || Sch. of Sci. & Technol., Univ. of New England, Armidale, NSW, Australia (Kwan, P.) || Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia (Junbin Coa) |
| 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. |
| Sponsorship | IEEE Comput.Soc. |
| Starting Page | 27 |
| Ending Page | 28 |
| File Size | 255575 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479913091 |
| DOI | 10.1109/BIBM.2013.6732631 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | HPLC-DAD data set separation mGA Independent component analysis Educational institutions Data models pICARC Compounds Mathematical model Biological cells Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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