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Description of  Support Vector Machines and Kernels for Computational Biology

The increasing wealth of biological data coming from a large variety of platforms and the continued development of new high-throughput methods for probing biological systems require increasingly more sophisticated computational approaches. Putting all these data in simple-to-use databases is a first step but realizing the full potential of the data requires algorithms that automatically extract regularities from the data, which can then lead to biological insight.