Age-Specific Transcriptomic Signatures for Classification of Progression-Free Survival Outcomes in Luminal A Breast Cancer: An Integrative Machine Learning Approach
BIOLOGY, cilt.15, sa.14, ss.1-19, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 15 Sayı: 14
- Basım Tarihi: 2026
- Doi Numarası: 10.3390/biology15141160
- Dergi Adı: BIOLOGY
- Derginin Tarandığı İndeksler: Academic Search Ultimate (EBSCO), Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Scopus, Science Citation Index Expanded (SCI-EXPANDED), BIOSIS, Directory of Open Access Journals, Zoological Record
- Sayfa Sayıları: ss.1-19
- Recep Tayyip Erdoğan Üniversitesi Adresli: Evet