driveR: a novel method for prioritizing cancer driver genes using somatic genomics data
BMC BIOINFORMATICS, cilt.22, sa.1, 2021 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 22 Sayı: 1
- Basım Tarihi: 2021
- Doi Numarası: 10.1186/s12859-021-04203-7
- Dergi Adı: BMC BIOINFORMATICS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Compendex, EMBASE, INSPEC, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
- Anahtar Kelimeler: Driver gene, Prioritization, Cancer, Somatic, MUTATIONS, IDENTIFICATION, PREDICTION
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet
Özet
Background: Cancer develops due to "driver" alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study, we developed a novel personalized/batch analysis approach for driver gene prioritization utilizing somatic genomics data, called driveR.