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. 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. https://doi.org/10.1007/978-3-319-09192-1_9
Type | Conference paper |
---|---|
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. |
Language | English |
Conference | 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014) |
ISSN | 0302-9743 |
ISBN | |
Hardcover | 9783319091914 |
Publisher | Springer |
Publication dates | |
Aug 2014 | |
Publication process dates | |
Deposited | 22 Apr 2016 |
Accepted | 07 Jun 2014 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-09192-1_9 |
Additional information | Published as a Chapter in: Pattern Recognition in Bioinformatics, Volume 8626 of the series Lecture Notes in Computer Science, pp 98-109 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-09192-1_9 |
Book title | Pattern Recognition in Bioinformatics: 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings |
https://repository.mdx.ac.uk/item/864x1
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