iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks-Reference-Cited by-同舟云学术

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks

Published:2024-05 Issue: Volume:151 Page:102860
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Akbar Shahid,Zou Quan,Raza Ali,Alarfaj Fawaz Khaled

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference84 articles.

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5. Global and multi-national prevalence of fungal diseases—estimate precision;Bongomin;J fungi,2017

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