Since ACPs are natural biologics, they are safer than other methods. However, the experimental technology is an expensive way to find ACPs so we purpose a new ...

Abstract— Cancer is the most threat to human's health and life. At present, people have developed several ways to against cancer,.

Since ACPs are natural biologics, they are safer than other methods. However, the experimental technology is an expensive way to find ACPs so we purpose a new ...

Identification of anticancer peptides based on Random Relevance Vector Machines ... In this study, we developed support vector machine- and random forest-based ...

Dec 16, 2020 · We developed a novel method named 'DRACP' and compared it with some traditional methods. The cross-validation results showed its ...

Dec 16, 2020 · Finally, we purposed Random Relevance Vector Machines to identify the true ACPs. We call this method 'DRACP' and tested the performance of it on ...

The study utilized a deep belief network to compress the dimensionality of the features and then used random relevance vector machines to detect the anticancer ...

Jul 23, 2024 · A machine learning-based predictor, called PLMACPred, is developed for identifying ACPs from peptide sequence only.

Jun 14, 2024 · ... random relevance vector machine that encodes peptides, which improved predictions of anticancer activity. (71) ACPred was built using ...

In this article, we propose an ACP prediction model called ACP-DA (Data Augmentation), which uses data augmentation for insufficient samples to improve the ...