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  Local Alignment Kernels for Biological Sequences

Vert, J.-P., Saigo, H., & Akutsu, T. (2004). Local Alignment Kernels for Biological Sequences. In B. Schölkopf, K. Tsuda, & J.-P. Vert (Eds.), Kernel Methods in Computational Biology (pp. 131-153). Cambridge, MA,: MIT Press.

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 Creators:
Vert, J-P, Author
Saigo, H1, 2, Author              
Akutsu, T, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: This chapter contains sections titled: Introduction, Sequence Local Alignment, Convolution Kernels, Local Alignment Kernels, Kernel Computation, Diagonal Dominance Issue, Experiments, Results, Discussion and Conclusion, Acknowledgments, Appendix A: Proof of Theorem 6.7, Appendix B: Proof of Theorem 6.8.

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 Dates: 2004
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: 4602
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Title: Kernel Methods in Computational Biology
Source Genre: Book
 Creator(s):
Schölkopf, B1, Editor            
Tsuda, K1, Editor            
Vert, J-P, Editor
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Cambridge, MA, : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 131 - 153 Identifier: ISBN: 0-262-20152-6