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....

Full description

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