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Kimma: flexible linear mixed effects modeling with kinship covariance for RNA-seq data.

Kimberly A Dill-McFarlandKiana MitchellSashank BatchuRichard Max SegnitzBasilin BensonTomasz JanczykMadison S CoxHarriet Mayanja-KizzaWilliam Henry BoomPenelope BenchekCatherine M SteinThomas R HawnMatthew C Altman
Published in: Bioinformatics (Oxford, England) (2023)
Kimma is freely available on GitHub https://github.com/BIGslu/kimma with an instructional vignette at https://bigslu.github.io/kimma_vignette/kimma_vignette.html.
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • big data
  • machine learning
  • data analysis