Somatic variant calling in cancer normally requires matched normal samples, but the latter are often unavailable. Here, the authors develop VarNet-T, a weakly supervised deep learning framework to identify somatic variants in tumours without matched normal controls, demonstrating higher accuracy than other existing methods.
- Kiran Krishnamachari
- Huu An Bui Nguyen
- Anders Jacobsen Skanderup
