Weighted ensemble for plant protein subcellular localization using particle swarm optimization
Conference proceedings article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Wattanapornprom W., Glomrit T., Prayongsup T., Suwanthanarat P., Lertampaiporn S.
Publisher: Elsevier
Publication year: 2021
Start page: 777
End page: 780
Number of pages: 4
ISBN: 9780738111278
ISSN: 0928-4931
eISSN: 1873-0191
Languages: English-Great Britain (EN-GB)
Abstract
This article presents the application of particle swarm optimization (PSO) for constructing a weighted vote ensemble to identify localizations of proteins in plant cells. The procedures were conducted using robotic process automation (RPA) to collect results from many existed classifiers as inputs of the ensemble and the results were combined using the optimized weighted to conclude the final decision. The constructed web-based application can help facilitates the biological researchers and scientists to recognize not only the primary location of the proteins in plant cells but also the alternative location in which such proteins can possibly be founded. From the experiment results, the PSO-weighted vote ensemble outperforms the majority vote ensemble with up to 92% accuracy. © 2021 IEEE.
Keywords
Robot Process Automation, Subcellular Localization
Contact Information