Local Alignment Kernels for Biological Sequences

Vert, J-P; Saigo, H; Akutsu, T

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Local Alignment Kernels for Biological Sequences

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Saigo, H
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://ieeexplore.ieee.org/document/6282639?tp=&arnumber=6282639
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Citation

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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-F361-1

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.