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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

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