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ideal: an R/Bioconductor package for interactive differential expression analysis.

Federico MariniJan LinkeHarald Binder
Published in: BMC bioinformatics (2020)
ideal is distributed as an R package in the Bioconductor project ( http://bioconductor.org/packages/ideal/ ), and provides a solution for performing interactive and reproducible analyses of summarized RNA-seq expression data, empowering researchers with many different profiles (life scientists, clinicians, but also experienced bioinformaticians) to make the ideal use of the data at hand.
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • poor prognosis
  • big data
  • palliative care
  • quality improvement
  • binding protein
  • long non coding rna
  • transcription factor
  • genome wide identification