Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network-Reference-Cited by-同舟云学术

Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network

Published:2024-03-07 Issue: Volume: Page:1-11
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Alsini Raed¹,Almuhaimeed Abdullah²,Ali Farman³,Khalid Majdi⁴,Farrash Majed⁴,Masmoudi Atef⁵

Affiliation:

1. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

2. Digital Health Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia

3. Sarhad University of Science and Information Technology Peshawar, Mardan Campus, Pakistan

4. Department of Computer Science and Artificial Intelligence, College of Computing, Umm Al-Qura University, Makkah, Saudi Arabia

5. College of Computer Science, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2323144

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4. iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach

5. Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine

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