ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides

Cancer is the second-leading cause of death worldwide, and therapeutic peptides that target and destroy cancer cells have received a great deal of interest in recent years. Traditional wet experiments are expensive and inefficient for identifying novel anticancer peptides; therefore, the development...

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Detalles Bibliográficos
Autores principales: Bhattarai, Sadik, Kim, Kyu-Sik, Tayara, Hilal, Chong, Kil To
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603247/
https://www.ncbi.nlm.nih.gov/pubmed/36293050
http://dx.doi.org/10.3390/ijms232012194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603247/
https://www.ncbi.nlm.nih.gov/pubmed/36293050
http://dx.doi.org/10.3390/ijms232012194

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