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

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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