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IP4CI: an interpretable pathway-based computational method for cross-species cell-type identification from single cell data

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IP4CI: an interpretable pathway-based computational method for cross-species cell-type identification from single cell data

input: two seurat objects, along with their metadata Note: All the gene names should be converted to human gene

installation: From terminal type: R CMD INSTALL --no-multiarch --with-keep.source IP4CI From R Studio: locate IP4CI folder and open project file IP4CI.Rproj

Demo using pancreas data

  1. create a folder to hold experiment data & results
  2. create sub-folder to hold data/ and move data into it for single cell data , please make sure they are Two Seurat Objects, one for each dataset, where counts & metadata are available in each object

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IP4CI: an interpretable pathway-based computational method for cross-species cell-type identification from single cell data

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