Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes
Currently, cancer is the leading cause of death worldwide, making millions of deaths annually in developing countries due to a shortage of detection and treatment. Early detection of cancer neoantigens is useful for specialists because they can help in the development of more successful treatments....
- Autores:
-
Orjuela Canon, Alvaro David
Perdomo Charry, Oscar Julian
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/1471
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/1471
https://doi.org/10.1117/12.2579602
- Palabra clave:
- Modelos - Aprendizaje automático
Células cancerosas
Predictive analytics
Análisis predictivo
Análisis predictivo
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb