Identifying Heat-Resilient Corals Using Machine Learning and Microbiome

Hyerim Yong, Mai Oudah

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


Due to global warming, coral reefs have been directly impacted with heat stress, resulting in mass coral bleaching. Within the coral species, some are more heat resistant, which calls for an investigation towards interventions that can enhance coral resilience for other heat-susceptible species. Studying heat-resistant corals’ microbial communities can provide a potential insight to the composition of heat-susceptible corals and how their resilience is achieved. So far, techniques to efficiently classify such vast microbiome data are not sufficient. In this paper, we present an optimal machine learning based pipeline for identifying the biomarker bacterial composition of heat-tolerant coral species versus heat-susceptible ones. Through steps of feature extraction, feature selection/engineering, and machine leaning training, we apply this pipeline on publicly available 16S rRNA sequences of corals. As a result, we have identified the correlation based feature selection filter and the Random Forest classifier to be the optimal pipeline, and determined biomarkers that are indicators of thermally sensitive corals.

Original languageEnglish (US)
Title of host publicationPractical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)
EditorsMiguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil-González
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783031380785
StatePublished - 2023
Event17th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2023 - Guimaraes, Portugal
Duration: Jul 12 2023Jul 14 2023

Publication series

NameLecture Notes in Networks and Systems
Volume743 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference17th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2023


  • Bioinformatics
  • Coral-reefs
  • Feature Selection and Engineering
  • Heat Resilience
  • Machine Learning
  • Microbiome

ASJC Scopus subject areas

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


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