@inproceedings{5046,
  title = {Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA},
  booktitle = {German Conference on Bioinformatics  (GCB 1999)},
  abstract = {In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points from which regions encoding pro­ teins start, the so­called translation initiation sites (TIS). This can be modeled as a classification prob­ lem. We demonstrate the power of support vector machines (SVMs) for this task, and show how to suc­ cessfully incorporate biological prior knowledge by engineering an appropriate kernel function. },
  organization = {Max-Planck-Gesellschaft},
  month = oct,
  year = {1999},
  author = {Zien, A. and R{\"a}tsch, G. and Mika, S. and Sch{\"o}lkopf, B. and Lemmen, C. and Smola, A. and Lengauer, T. and M{\"u}ller, K-R.},
  month_numeric = {10}
}