Supervised selective kernel fusion for membrane protein prediction
Conference paper
Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. 2014. Supervised selective kernel fusion for membrane protein prediction. Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. (ed.) 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. pp. 98-109 https://doi.org/10.1007/978-3-319-09192-1_9
Type | Conference paper |
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Title | Supervised selective kernel fusion for membrane protein prediction |
Authors | Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. |
Abstract | Membrane protein prediction is a significant classification problem, requiring the integration of data derived from different sources such as protein sequences, gene expression, protein interactions etc. A generalized probabilistic approach for combining different data sources via supervised selective kernel fusion was proposed in our previous papers. It includes, as particular cases, SVM, Lasso SVM, Elastic Net SVM and others. In this paper we apply a further instantiation of this approach, the Supervised Selective Support Kernel SVM and demonstrate that the proposed approach achieves the top-rank position among the selective kernel fusion variants on benchmark data for membrane protein prediction. The method differs from the previous approaches in that it naturally derives a subset of “support kernels” (analogous to support objects within SVMs), thereby allowing the memory-efficient exclusion of significant numbers of irrelevant kernel matrixes from a decision rule in a manner particularly suited to membrane protein prediction. |
Conference | 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014) |
Page range | 98-109 |
Proceedings Title | Pattern Recognition in Bioinformatics: 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings |
Series | Lecture Notes in Computer Science (LNCS) |
Editors | Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Hardcover | 9783319091914 |
Electronic | 9783319091921 |
Publisher | Springer |
Publication dates | |
05 Aug 2014 | |
Online | 13 Aug 2014 |
Publication process dates | |
Deposited | 22 Apr 2016 |
Accepted | 07 Jun 2014 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-09192-1_9 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-09192-1_9 |
Scopus EID | 2-s2.0-84958526806 |
Web address (URL) of conference proceedings | https://link.springer.com/book/10.1007/978-3-319-09192-1 |
Related Output | |
Has metadata | http://www.scopus.com/inward/record.url?eid=2-s2.0-84958526806&partnerID=MN8TOARS |
Language | English |
https://repository.mdx.ac.uk/item/864x1
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