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Gdaphen, R pipeline to identify the most important qualitative and quantitative predictor variables from phenotypic data.

Maria Del Mar Muñiz MorenoClaire Gavériaux-RuffYann Hérault
Published in: BMC bioinformatics (2023)
Gdaphen makes the analysis of phenotypic data much easier for medical or preclinical behavioral researchers, providing an integrated framework to perform: (1) pre-processing steps as data imputation or anonymization; (2) a full statistical assessment to identify which variables are the most important discriminators; and (3) state of the art visualizations ready for publication to support the conclusions of the analyses. Gdaphen is open-source and freely available at https://github.com/munizmom/gdaphen , together with vignettes, documentation for the functions and examples to guide you in each own implementation.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • primary care
  • systematic review
  • high resolution
  • machine learning
  • stem cells
  • data analysis
  • mass spectrometry