An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus

Hepatitis C virus (HCV) infection remains a significant global health challenge, often resulting in severe long-term physical complexity and even death. Since its discovery, HCV has exhibited substantial genetic variability, complicating vaccine development. Although some therapeutic approach have s...

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Bibliographic Details
Main Authors:	Md. Faruk Hosen, S. M. Hasan Mahmud, Kah Ong Michael Goh, Muhammad Shahin Uddin, Dip Nandi, Swakkhar Shatabda, Watshara Shoombuatong
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Results in Engineering
Subjects:	Hepatitis C virus Attention mechanism Feature extraction Long short term memory neural network Shapley values
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123024017286
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An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus

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