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SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis.

Gohta AiharaKalen CliftonMayling ChenZhuoyan LiLyla AttaBrendan F MillerRahul SatijaJohn W HickeyJean Fan
Published in: Bioinformatics (Oxford, England) (2024)
SEraster is implemented as an R package on GitHub (https://github.com/JEFworks-Lab/SEraster) with additional tutorials at https://JEF.works/SEraster.
Keyphrases
  • data analysis
  • single cell