| Download | - View accepted manuscript: The analysis of mass spectrometry data to resolve and quantify peptide peaks in cerebral stroke samples: an evolutionary computation approach (PDF, 284 KiB)
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| Link | http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/wksp114.pdf |
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| Author | Search for: Valdes, Julio1; Search for: Barton, Alan J.1; Search for: Haqqani, Arsalan2 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
- National Research Council of Canada. NRC Institute for Biological Sciences
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| Format | Text, Article |
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| Conference | Medical Applications of Genetic and Evolutionary Computation Workshop (MedGEC) as part of GECCO 2006: Genetic and Evolutionary Computation Conference, July 8-12, 2006, Seattle, Washington, United States |
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| Subject | mass spectroscopy; proteomics; medicine; genetic algorithms; differential evolution; evolutionary computation; model fitting |
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| Abstract | A preliminary investigation of cerebral stroke samples injected into a mass spectrometer is performed from an evolutionary computation perspective. The detection and resolution of peptide peaks is pursued for the purpose of automatically and accurately determining unlabeled peptide quantities. A theoretical peptide peak model is proposed and a series of experiments are then pursued (most within a distributed computing environment) along with a data preprocessing strategy that includes i) a deisotoping step followed by ii) a peak picking procedure, followed by iii) a series of evolutionary computation experiments oriented towards the investigation of their capability for achieving the aforementioned goal. Results from four different genetic algorithms and one differential evolution algorithm are reported with respect to their ability to find solutions that fit within the framework of the presented theoretical peptide peak model. Both unconstrained and constrained (as determined by a course grained preprocessing stage) solution space experiments are performed for both types of evolutionary algorithms. Good preliminary results are obtained. |
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| Publication date | 2006-07 |
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| Language | English |
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| NRC number | NRCC 48505 |
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| NPARC number | 5763478 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | ff1b9bac-4e90-438c-b0dc-777f8b7387db |
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| Record created | 2009-03-29 |
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| Record modified | 2024-02-06 |
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