Apr 25, 2020

HiTaC: Hierarchical Taxonomic Classification of Fungal ITS Sequences

BioRxiv : the Preprint Server for Biology
Alex PerkinsR. T. J. Ramos


Motivation: Fungi are key elements in several important ecological functions, ranging from organic matter decomposition to symbiotic associations with plants. Moreover, fungi naturally inhabit the human microbiome and can be causative agents of human infections. An accurate and robust method for fungal ITS classification is not only desired for the purpose of better diversity estimation, but it can also help us gain a deeper insight of the dynamics of environmental communities and ultimately comprehend whether the abundance of certain species correlate with health and disease. Although many methods have been proposed for taxonomic classification, to the best of our knowledge, none of them consider the taxonomic tree hierarchy when building their models. This in turn, leads to lower generalization power and higher risk of committing classification errors. Results: In this work, we developed a robust, hierarchical machine learning model for accurate ITS classification, which requires a small amount of data for training and is able to handle imbalanced datasets. We show that our hierarchical model, HiTaC, outperforms state-of-the-art methods when trained over noisy data, consistently achieving higher accuracy and sensitivity acros...Continue Reading

  • References
  • Citations


  • We're still populating references for this paper, please check back later.
  • References
  • Citations


  • This paper may not have been cited yet.

Mentioned in this Paper

Spatial Distribution
Theoretical Study
Disintegration (Morphologic Abnormality)
EAF2 gene

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

JAMA : the Journal of the American Medical Association
British Medical Journal
Journal of the American Medical Association
The Eugenics Review
© 2020 Meta ULC. All rights reserved