An Augmented Sample Selection Framework for Prediction of Anticancer Peptides

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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Bibliographic Details
Main Authors: Huawei Tao, Shuai Shan, Hongliang Fu, Chunhua Zhu, Boye Liu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Molecules
Subjects:
anticancer peptides
prediction model
data augmentation
noisy samples
uncertainty estimation
confidence
Online Access:https://www.mdpi.com/1420-3049/28/18/6680

Internet

https://www.mdpi.com/1420-3049/28/18/6680

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