Implicit motif distribution based hybrid computational kernel for sequence classification

Creative Commons License

Atalay V. , Cetin-Atalay R.

BIOINFORMATICS, cilt.21, sa.8, ss.1429-1436, 2005 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Konu: 8
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1093/bioinformatics/bti212
  • Sayfa Sayıları: ss.1429-1436


Motivation: We designed a general computational kernel for classification problems that require specific motif extraction and search from sequences. Instead of searching for explicit motifs, our approach finds the distribution of implicit motifs and uses as a feature for classification. Implicit motif distribution approach may be used as modus operandi for bioinformatics problems that require specific motif extraction and search, which is otherwise computationally prohibitive.