AMP0: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning-Reference-Cited by-同舟云学术

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AMP0: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning

Published:2022-01-01 Issue:1 Volume:19 Page:275-283
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Gull Sadaf,Minhas Fayyaz^ORCID

Funder

Higher Education Commission, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/9702518/09106755.pdf?arnumber=9106755

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An ensemble deep learning model for predicting minimum inhibitory concentrations of antimicrobial peptides against pathogenic bacteria;iScience;2024-09

2. Exploring new horizons: Empowering computer-assisted drug design with few-shot learning;Artificial Intelligence in the Life Sciences;2023-12

3. PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

4. Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction;Briefings in Bioinformatics;2022-06-21

5. What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data;ACM Transactions on Intelligent Systems and Technology;2022-03-03

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