@INPROCEEDINGS{ZieRaeMikSchLemSmoLenMue99,
    author = {Zien, A. and R{\"a}tsch, G. and Mika, S. and B. Sch{\"o}lkopf, C. Lemmen and Smola, A.J. and Lengauer, T. and Mueller, K.-R.},
    title = "Engineering Support Vector Machine Kernel That Recognize Translation Initiation Sites in {DNA}",
    booktitle = "Proceedings GCB'99",
    year = "1999",
    abstract = "In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points from which regions encoding proteins start, the so-called translation initiation sites (TIS). This can be modeled as a classification problem. We demonstrate the power of support vector machines (SVMs) for this task, and show how to successfully incorporate biological prior knowledge by engineering an appropriate kernel function.",
    pdf = "http://doc.ml.tu-berlin.de/publications/publications/ZieRaeMikSchLemSmoLenMue99\_GCB.pdf",
    postscript = "http://doc.ml.tu-berlin.de/publications/publications/ZieRaeMikSchLemSmoLenMue99\_GCB.ps"
}