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  RNA secondary structure prediction using large margin methods

De Bona, F., Ong, C., Zien, A., & Rätsch, G. (2007). RNA secondary structure prediction using large margin methods. Poster presented at 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-01B6-D Version Permalink: http://hdl.handle.net/21.11116/0000-0004-01B7-C
Genre: Poster

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ISMB-ECCB-2007-DeBona.pdf (Any fulltext), 181KB
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ISMB-ECCB-2007-DeBona.pdf
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 Creators:
De Bona, F1, Author
Ong, CS2, 3, Author              
Zien, A2, 3, Author              
Rätsch, G1, Author              
Affiliations:
1Friedrich Miescher Laboratory, Max Planck Society, ou_2575692              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: The secondary structure of RNA is essential for its biological role. Recently, Do, Woods, Batzoglou, (ISMB 2006) proposed a probabilistic approach that generalizes SCFGs using conditional maximum likelihood to estimate the model parameters. We propose an alternative approach to parameter estimation which is based on an SVM-like large margin method.

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 Dates: 2007-07
 Publication Status: Published online
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Title: 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007)
Place of Event: Wien, Austria
Start-/End Date: 2007-07-21 - 2007-07-25

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