Support Vector Training of Protein Alignment Models-Reference-Cited by-同舟云学术

Support Vector Training of Protein Alignment Models

Published: Issue: Volume: Page:253-267
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Container-title:Lecture Notes in Computer Science
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Author:

Yu Chun-Nam John,Joachims Thorsten,Elber Ron,Pillardy Jaroslaw

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-71681-5_18.pdf

Reference25 articles.

1. Joachims, T.: Learning to align sequences: A maximum-margin approach (August (2003), http://www.joachims.org

2. Lecture Notes in Computational Science and Engineering;T. Joachims,2005

3. Qiu, J., Elber, R.: SSALN: an alignment algorithm using structure-dependent substitution matrices and gap penalties learned from structurally aligned protein pairs. Proteins 62, 881–891 (2006)

4. Bucher, P., Hofmann, K.: A sequence similarity search algorithm based on a probabilistic interpretation of an alignment scoring system. In: International Conference on Intelligent Systems for Molecular Biology (ISMB) (1996)

5. Durbin, R., Eddy, S., Krogh, A., Mitchison, G.: Biological Sequence Analysis. Cambridge University Press, Cambridge (1998)

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