Accurate somatic variant detection using weakly supervised deep learning
oleh: Kiran Krishnamachari, Dylan Lu, Alexander Swift-Scott, Anuar Yeraliyev, Kayla Lee, Weitai Huang, Sim Ngak Leng, Anders Jacobsen Skanderup
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-07-01 |
Deskripsi
Deep learning could be applied to the challenge of somatic variant calling in cancer by making use of large-scale genomic data. Here, the authors develop VarNet, a weakly supervised deep learning model for somatic variant calling in cancer with robust performance across multiple cancer genomics datasets.