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
- create a folder to hold experiment data & results
- 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