Cargando…
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53
Correctly identifying the true driver mutations in a patient’s tumor is a major challenge in precision oncology. Most efforts address frequent mutations, leaving medium- and low-frequency variants mostly unaddressed. For TP53, this identification is crucial for both somatic and germline mutations, w...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921628/ https://www.ncbi.nlm.nih.gov/pubmed/35043155 http://dx.doi.org/10.1093/bib/bbab524 |