Enhanced Prediction of mRNA Subcellular Localization Using a Novel Ensemble Learning and Hybrid Approach

Thi Tuyen Nguyen, Van Nui Nguyen, Thi Xuan Tran, Nguyen Quoc Khanh Le

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unraveling the subcellular localization of mRNA is an imperative aspect in the realm of biotechnology. This resolution can illuminate the inner workings of genetic regulatory mechanisms, gene expression modalities, and the evolution of cellular physiological and developmental processes. However, the experimental delineation of mRNA subcellular localization imposes significant temporal and resource commitments. Despite the development of multiple algorithms and predictive models for mRNA subcellular localization, their performance indexes have not been markedly high. In this paper, we introduce a novel hybrid approach to categorize mRNA into five distinct subcellular locales, including the cytoplasm, endoplasmic reticulum, extracellular region, mitochondria, and nucleus. Our model exploits the strengths of ensemble learning with a hybrid methodology, incorporating multiple biologically pertinent features extracted from the input sequencing data. Additionally, the model dynamically adjusts the weightages of functions and the minority class, through the modulation of the weight ratio of disparate models during their contribution to the principal model. Overall, our model delivers promising results, with an average accuracy of 0.89 in an independent dataset for the classification of mRNA subcellular localizations into five subclasses. This displays a significant performance elevation in contrast to preceding algorithms, particularly in instances where the classes are adequately sampled.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Technology - Proceedings of the 2nd International Conference ICTA 2023
EditorsPhung Trung Nghia, Vu Duc Thai, Nguyen Thanh Thuy, Le Hoang Son, Van-Nam Huynh
PublisherSpringer Science and Business Media Deutschland GmbH
Pages60-68
Number of pages9
ISBN (Print)9783031495281
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Advances in Information and Communication Technology, ICTA 2023 - Thai Nguyen, Viet Nam
Duration: Dec 13 2023Dec 14 2023

Publication series

NameLecture Notes in Networks and Systems
Volume847 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Advances in Information and Communication Technology, ICTA 2023
Country/TerritoryViet Nam
CityThai Nguyen
Period12/13/2312/14/23

Keywords

  • Bioinformatics
  • Ensemble learning
  • Hybird
  • Machine learning
  • mRNA subcellular localization
  • Sequence analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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