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-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 8
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1093/bioinformatics/bti212
  • Dergi Adı: BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1429-1436
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.