Effective gene expression data generation framework based on multi-model approach
ARTIFICIAL INTELLIGENCE IN MEDICINE, cilt.70, ss.41-61, 2016 (SCI-Expanded, Scopus)
- 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.