Sequence alignment kernel for recognition of promoter regions

  title={Sequence alignment kernel for recognition of promoter regions},
  author={Leo Gordon and Alexey Ya. Chervonenkis and Alexander Gammerman and Ilham A. Shahmuradov and Victor V. Solovyev},
  volume={19 15},
UNLABELLED In this paper we propose a new method for recognition of prokaryotic promoter regions with startpoints of transcription. The method is based on Sequence Alignment Kernel, a function reflecting the quantitative measure of match between two sequences. This kernel function is further used in Dual SVM, which performs the recognition. Several recognition methods have been trained and tested on positive data set, consisting of 669 sigma70-promoter regions with known transcription… CONTINUE READING
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