Go to content
UR Home

Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites

URN to cite this document:
Meinicke, Peter ; Tech, Maike ; Morgenstern, Burkhard ; Merkl, Rainer
Date of publication of this fulltext: 16 Nov 2009 10:13


BACKGROUND: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations in terms of positional and compositional variability of the underlying ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons