An Augmented Sample Selection Framework for Prediction of Anticancer Peptides

Anticancer peptides (ACPs) have promising prospects for cancer treatment. Traditional ACP identification experiments have the limitations of low efficiency and high cost. In recent years, data-driven deep learning techniques have shown significant potential for ACP prediction. However, data-driven p...

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Detalles Bibliográficos
Autores principales: Tao, Huawei, Shan, Shuai, Fu, Hongliang, Zhu, Chunhua, Liu, Boye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535447/
https://www.ncbi.nlm.nih.gov/pubmed/37764455
http://dx.doi.org/10.3390/molecules28186680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535447/
https://www.ncbi.nlm.nih.gov/pubmed/37764455
http://dx.doi.org/10.3390/molecules28186680

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