Gene expression data analysis in the membership embedding space: A constructive approach

M. Filippone; F. Masulli; S. Rovetta

doi:10.1142/9789812774118_0087

Gene expression data analysis in the membership embedding space: A constructive approach

M. Filippone, F. Masulli, S. Rovetta

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Exploratory analysis of genomic data sets using unsupervised clustering techniques is often affected by problems due to the small cardinality and high dimensionality of the data set. A way to alleviate those problems lies in performing clustering in an embedding space where each data point is represented by a vector of its memberships to fuzzy sets characterized by a set of probes selected from the data set. This approach has been demonstrated to lead to significant improvements with respect the application of clustering algorithms in the original space and in the distance embedding space. In this paper we propose a constructive technique based on Simulated Annealing able to select sets of probes of small cardinality and supporting high quality clustering solutions.

Original language	English (US)
Title of host publication	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006
Editors	Pierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	617-624
Number of pages	8
ISBN (Electronic)	9812566902, 9789812566904
DOIs	https://doi.org/10.1142/9789812774118_0087
State	Published - 2006
Event	Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy Duration: Aug 29 2006 → Aug 31 2006

Publication series

Name	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

Conference

Conference	Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006
Country/Territory	Italy
City	Genova
Period	08/29/06 → 08/31/06

Bibliographical note

Publisher Copyright:
© 2006 by World Scientific Publishing Co. Pte. Ltd.

ASJC Scopus subject areas

Information Systems
Computational Theory and Mathematics
Nuclear and High Energy Physics

Access to Document

10.1142/9789812774118_0087

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Filippone, M., Masulli, F., & Rovetta, S. (2006). Gene expression data analysis in the membership embedding space: A constructive approach. In P. D'Hondt, E. E. Kerre, D. Ruan, M. De Cock, M. Nachtegael, & P. F. Fantoni (Eds.), Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 (pp. 617-624). (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789812774118_0087

Filippone, M. ; Masulli, F. ; Rovetta, S. / Gene expression data analysis in the membership embedding space : A constructive approach. Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. editor / Pierre D'Hondt ; Etienne E. Kerre ; Da Ruan ; Martine De Cock ; Mike Nachtegael ; Paolo F. Fantoni. World Scientific Publishing Co. Pte Ltd, 2006. pp. 617-624 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

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Filippone, M, Masulli, F & Rovetta, S 2006, Gene expression data analysis in the membership embedding space: A constructive approach. in P D'Hondt, EE Kerre, D Ruan, M De Cock, M Nachtegael & PF Fantoni (eds), Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, World Scientific Publishing Co. Pte Ltd, pp. 617-624, Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006, Genova, Italy, 08/29/06. https://doi.org/10.1142/9789812774118_0087

Gene expression data analysis in the membership embedding space: A constructive approach. / Filippone, M.; Masulli, F.; Rovetta, S.
Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. ed. / Pierre D'Hondt; Etienne E. Kerre; Da Ruan; Martine De Cock; Mike Nachtegael; Paolo F. Fantoni. World Scientific Publishing Co. Pte Ltd, 2006. p. 617-624 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Filippone M, Masulli F, Rovetta S. Gene expression data analysis in the membership embedding space: A constructive approach. In D'Hondt P, Kerre EE, Ruan D, De Cock M, Nachtegael M, Fantoni PF, editors, Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006. World Scientific Publishing Co. Pte Ltd. 2006. p. 617-624. (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). doi: 10.1142/9789812774118_0087

Gene expression data analysis in the membership embedding space: A constructive approach

Abstract

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ASJC Scopus subject areas

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