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longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types.

Jonas HagenbergMonika BuddeTeodora PandevaIvan KondoferskySabrina K SchauppFabian J TheisThomas G SchulzeNikola S MüllerUrs HeilbronnerRicha BatraJanine Knauer-Arloth
Published in: Bioinformatics (Oxford, England) (2024)
The R package is freely available at https://cran.r-project.org/package=longmixr with detailed documentation, including a case vignette, at https://cellmapslab.github.io/longmixr/.
Keyphrases
  • cross sectional
  • electronic health record
  • quality improvement
  • single cell
  • big data
  • rna seq
  • data analysis
  • artificial intelligence