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Microarray classification with hierarchical data representation and novel feature selection criteria

Author
Bosio, M.; Bellot, P.; Salembier, P.; Oliveras, A.
Type of activity
Presentation of work at congresses
Name of edition
12th IEEE International Conference on BioInformatics and BioEngineering
Date of publication
2012
Presentation's date
2012-11-12
Book of congress proceedings
Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) : Larnaca, Cyprus, 11-13 November 2012
First page
344
Last page
349
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/BIBE.2012.6399648 Open in new window
Repository
http://hdl.handle.net/2117/18291 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6399648&tag=1 Open in new window
Abstract
Microarray data classification is a challenging prob- lem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is proposed in this work as an improvement of the algorithm in [1]. It considers the sample scarcity problem and the lack of data structure typical of microarrays. Both problem are assessed by a two-step approach applying hierarchical clustering to create new features called metagenes ...
Citation
Bosio, M. [et al.]. Microarray classification with hierarchical data representation and novel feature selection criteria. A: IEEE International Conference on BioInformatics and BioEngineering. "Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) : Larnaca, Cyprus, 11-13 November 2012". Larnaca: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 344-349.
Keywords
LDA, Microarray classification, Treelets, feature selection, hierarchical representation, metagenes, wrapper
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants