Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Abstract Background Synthetic lethality describes a genetic interaction between two perturbations, leading to cell death, whereas neither event alone has a significant effect on cell viability. This concept can be exploited to specifically target tumor cells. CRISPR viability screens have been widel...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-08-01
|
| Series: | Molecular Cancer |
| Online Access: | https://doi.org/10.1186/s12943-021-01405-8 |