Abstract
In this paper, a novel classification method of two-dimensional polyacrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process for whose implementation we compare Genetic Algorithms and Particle Swarm Optimization. Then, the selected features, among which the most decisive and representative ones appear to be those related to the second order co-occurrence matrix, are used as inputs for a Support Vector Machine. The accuracy of the proposed method is around 94 %, a statistically better performance than the classification based on the entire feature set. This classification step can be very useful for discarding over-segmented areas after a protein segmentation or identification process.
Original language | English (US) |
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Title of host publication | Biomedical Engineering Systems and Technologies - 6th International Joint Conference, BIOSTEC 2013, Revised Selected Papers |
Editors | Ana Fred, Hugo Gamboa, Pedro L. Fernandes, Jordi Solé-Casals, Mireya Fernández-Chimeno, Sergio Alvarez, Deborah Stacey |
Publisher | Springer Verlag |
Pages | 117-130 |
Number of pages | 14 |
ISBN (Electronic) | 9783662444849 |
DOIs | |
State | Published - 2014 |
Event | 6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013 - Barcelona, Spain Duration: Feb 11 2013 → Feb 14 2013 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 452 |
ISSN (Print) | 1865-0929 |
Other
Other | 6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013 |
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Country/Territory | Spain |
City | Barcelona |
Period | 2/11/13 → 2/14/13 |
Funding
This work is by “Development of new image analysis techniques in 2D Gel for biomedical research” (Ref. 10SIN105004PR), CN2102/217, CN2011/034 and CN2012/130 by Xunta de Galicia. Jose A. Seoane acknowledges Medical Research Council Project Grant G1000427. Pablo Mesejo and Youssef S.G. Nashed are funded by the European Commission (MIBISOC Marie Curie Initial Training Network, FP7 PEOPLE-ITN-2008, GA n. 238819).
Keywords
- Electrophoresis
- Feature Selection
- Genetic Algorithm
- Proteomic Imaging
- Support
- Texture Analysis
- Vector Machines
ASJC Scopus subject areas
- General Computer Science
- General Mathematics