ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

Anticancer peptides (ACPs) have provided a promising perspective for cancer treatment, and the prediction of ACPs is very important for the discovery of new cancer treatment drugs. It is time consuming and expensive to use experimental methods to identify ACPs, so computational methods for ACP ident...

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Bibliographic Details
Main Authors: Xian-gan Chen, Wen Zhang, Xiaofei Yang, Chenhong Li, Hengling Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Genetics
Subjects:
anticancer peptide prediction
data augmentation
feature representation
multilayer perception
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.698477/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.698477/full

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