Weighted ensemble for plant protein subcellular localization using particle swarm optimization

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Wattanapornprom W., Glomrit T., Prayongsup T., Suwanthanarat P., Lertampaiporn S.

ผู้เผยแพร่: Elsevier

ปีที่เผยแพร่ (ค.ศ.): 2021

หน้าแรก: 777

หน้าสุดท้าย: 780

จำนวนหน้า: 4

ISBN: 9780738111278

นอก: 0928-4931

eISSN: 1873-0191

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112799104&doi=10.1109%2fECTI-CON51831.2021.9454763&partnerID=40&md5=b5c1ee1a5c1a91995826799d295e5119

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

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.

คำสำคัญ

Robot Process Automation, Subcellular Localization