Understanding the cellular origins of cancers is crucial for improving diagnosis and treatment. Here, the authors utilize single cell chromatin accessibility data, patient whole-genome sequencing mutational profiles, and machine learning to predict the cell of origin for 37 cancer types, providing insights into cancer development and therapeutic strategies.
- Mohamad D. Bairakdar
- Wooseung Lee
- Alexander M. Tsankov