CRISPR dependency profiles distinguish pediatric from adult cancer cell lines via explainable machine learning: Identification of GPX4 and proliferative genes as therapeutic targets
Pediatric and adult cancers diverge profoundly in their molecular architecture, yet whether these differences extend to genome-scale genetic dependencies remains poorly characterized, with prior studies examining single subtypes or individual algorithms rather than a systematic, interpretable comparison. To address t...
Abdulvahap Pınar, Cemil Çolak, A. Arslan
· Intelligent Data Analysis · 0 citations