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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "iimi" in publications use:'
type: software
license: MIT
title: 'iimi: Identifying Infection with Machine Intelligence'
version: 1.1.1
doi: 10.32614/CRAN.package.iimi
abstract: A novel machine learning method for plant viruses diagnostic using genome
  sequencing data. This package includes three different machine learning models,
  random forest, XGBoost, and elastic net, to train and predict mapped genome samples.
  Mappability profile and unreliable regions are introduced to the algorithm, and
  users can build a mappability profile from scratch with functions included in the
  package. Plotting mapped sample coverage information is provided.
authors:
- family-names: Ning
  given-names: Haochen
  email: hning@uvic.ca
- family-names: Boyes
  given-names: Ian
  email: ian.boyes@inspection.gc.ca
- family-names: Numanagić
  given-names: Ibrahim
  email: inumanag@uvic.ca
  orcid: https://orcid.org/0000-0002-2970-7937
- family-names: Rott
  given-names: Michael
  email: mike.rott@inspection.gc.ca
- family-names: Xing
  given-names: Li
  email: lix491@math.usask.ca
  orcid: https://orcid.org/0000-0002-4186-7909
- family-names: Zhang
  given-names: Xuekui
  email: xuekui@uvic.ca
  orcid: https://orcid.org/0000-0003-4728-2343
repository: https://CRAN.R-project.org/package=iimi
date-released: '2024-07-26'
contact:
- family-names: Zhang
  given-names: Xuekui
  email: xuekui@uvic.ca
  orcid: https://orcid.org/0000-0003-4728-2343