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Graph-based machine learning approaches for pangenomics

  • Indika Kahanda
  • , Joann Mudge
  • , Buwani Manuweera
  • , Thiruvarangan Ramaraj
  • , Alan Cleary
  • , Brendan Mumey

Research output: Chapter or Contribution to BookChapter

Original languageEnglish
Title of host publicationMachine Learning Methods for Multi-Omics Data Integration
PublisherSpringer International Publishing
Pages117-132
Number of pages16
ISBN (Electronic)9783031365027
ISBN (Print)9783031365010
DOIs
StatePublished - Nov 13 2023

ASJC Scopus Subject Areas

  • General Computer Science
  • General Medicine
  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

Keywords

  • Frequented regions
  • Genotype-to-phenotype prediction
  • Graph-based machine learning
  • GWAS
  • Pangenomics
  • Yeast

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