Classification of Biological Sequences with Kernel Methods
نویسنده
چکیده
Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Outline 1 Kernels and kernel methods Kernels Kernel Methods 2 Kernels for biological sequences Motivations Feature space approach Using generative models Derive from a similarity measure Application: remote homology detection Jean-Philippe Vert Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Outline 1 Kernels and kernel methods Kernels Kernel Methods 2 Kernels for biological sequences Motivations Feature space approach Using generative models Derive from a similarity measure Application: remote homology detection Jean-Philippe Vert Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Kernels Kernel Methods Kernels and Kernel Methods Jean-Philippe Vert Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Kernels Kernel Methods Outline 1 Kernels and kernel methods Kernels Kernel Methods 2 Kernels for biological sequences Motivations Feature space approach Using generative models Derive from a similarity measure Application: remote homology detection Jean-Philippe Vert Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Kernels Kernel Methods Motivations Develop versatile algorithms to process and analyze data No hypothesis made regarding the type of data (vectors, Instead we study methods based on pairwise comparisons.
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Application of string kernels in protein sequence classification.
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