A. Zien, G. Rätsch, S. Mika, B. Schölkopf, T. Lengauer, and K.-R. Müller (2000)
Engineering Support Vector Machine Kernels that Recognize Translation Initiation Sites
BioInformatics, 16(9):799-807.
The task of finding translation initiation sites can be modeled as a classification problem. We demonstrate the applicability of SVMs for this task, and show how to incorporate prior biological knowledge by engineering an appropriate kernel function.