inACP: An integrated approach to the prediction of anticancer peptides-Reference-Cited by-同舟云学术

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inACP: An integrated approach to the prediction of anticancer peptides

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhong Guolun¹,Deng Lei¹

Affiliation:

1. Central South University,School of Computer Science and Engineering,Changsha,China,410075

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995361.pdf?arnumber=9995361

Reference38 articles.

1. Tumor microenvironment targeted nanotherapeutics for cancer therapy and diagnosis: A review

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

3. Trends in peptide drug discovery

4. xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning

5. Anticancer peptide: Physicochemical property, functional aspect and trend in clinical application (Review)

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1. A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAs;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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