A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data

• Mario Fruzangohar ,

  * E-mail: mario.fruzangohar@adelaide.edu.au (MF); david.adelson@adelaide.edu.au (DLA)

  Affiliations School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia, School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, South Australia, Australia

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• Esmaeil Ebrahimie,

  Affiliations Australian Centre for Antimicrobial Resistance Ecology, School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, South Australia, Australia, School of Medicine, Faculty of Health Sciences, The University of Adelaide, Adelaide, Australia, School of Information Technology and Mathematical Sciences, Division of Information Technology, Engineering and the Environment, University of South Australia, Adelaide, Australia, School of Biological Sciences, Faculty of Science and Engineering, Flinders University, Adelaide, Australia

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• David L. Adelson

  * E-mail: mario.fruzangohar@adelaide.edu.au (MF); david.adelson@adelaide.edu.au (DLA)

  Affiliations School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia, Zhendong Australia – China Centre for Molecular Chinese Medicine, The University of Adelaide, Adelaide, South Australia, Australia

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