Mining mutation contexts across the cancer genome to map tumor site of origin
The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/b01f12ed70af4a0e98b2eb41a7bf9303 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations. |
|---|