<p>A deep learning model for the prediction of Influenza A CTL & HTL epitopes: An optimal solution for the robust vaccine design</p>

Karthika R; Prince  R. Prabhu

doi:10.7490/f1000research.1118168.1

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R K and R. Prabhu P. A deep learning model for the prediction of Influenza A CTL & HTL epitopes: An optimal solution for the robust vaccine design [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):879 (poster) (https://doi.org/10.7490/f1000research.1118168.1)

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A deep learning model for the prediction of Influenza A CTL & HTL epitopes: An optimal solution for the robust vaccine design

Karthika R, Prince R. Prabhu¹

Published 03 Aug 2020 (https://doi.org/10.7490/f1000research.1118168.1)

Author Affiliations

¹ Anna University, Chennai, India

Copyright © 2020 R K and R. Prabhu P. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Aug 2020

A deep learning model for the prediction of Influenza A CTL & HTL epitopes: An optimal solution for the robust vaccine design
[version 1; not peer reviewed]

Karthika R, Prince R. Prabhu¹

Author Affiliations

¹ Anna University, Chennai, India

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Vaccine design, Influenza A, T-cell epitopes , Immunology, Neuraminidase, Machine learning/ Deep learning

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