Effective gene expression data generation framework based on multi-model approach

Sirin U., Erdogdu U., POLAT F., TAN M., Alhajj R.

ARTIFICIAL INTELLIGENCE IN MEDICINE, cilt.70, ss.41-61, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 70
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.artmed.2016.05.003
  • Dergi Adı: ARTIFICIAL INTELLIGENCE IN MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.41-61
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Objective: Overcome the lack of enough samples in gene expression data sets having thousands of genes but a small number of samples challenging the computational methods using them.