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Active Semisupervised Model for Improving the Identification of Anticancer Peptides

[Image: see text] Cancer is one of the most dangerous threats to human health. Accurate identification of anticancer peptides (ACPs) is valuable for the development and design of new anticancer agents. However, most machine-learning algorithms have limited ability to identify ACPs, and their accurac...

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Detalles Bibliográficos
Autores principales:	Cai, Lijun, Wang, Li, Fu, Xiangzheng, Zeng, Xiangxiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2021
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459422/ https://www.ncbi.nlm.nih.gov/pubmed/34568678 http://dx.doi.org/10.1021/acsomega.1c03132

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