Find cells indicating shared biological features across conditions
FindCell(seuratobj, seuratlist, fullcluster, distmat, firstn = 15)The Seurat object that all samples/subjects were merged together.
A list of Seurat objects, usually can be got by SplitObject().
A list of clusters that generated by the function GetCluster().
A list of distance vectors generated by the function FindNNDist().
The number of nearest cells were detected that you want to include in the permutation test. Default to be 15.
A list of two vectors: one is for which cluster of which sample will be highlighted and the second one is which cells will be selected.
# Create example Seurat object
data(sim_data_sce)
data(sim_result)
# Create example list of Seurat objects
sim_data <- SCEtoSeurat(sim_data_sce)
#> Error in SCEtoSeurat(sim_data_sce): could not find function "SCEtoSeurat"
seuratlist <- Seurat::SplitObject(sim_data, split.by = "Study")
#> Error in eval(expr, envir, enclos): object 'sim_data' not found
# seuratlist <- InputData(sim_data_sce,"Study")
# Create example fullcluster (mock data)
# fullcluster <- GetCluster(seuratlist)
# Create example distmat (mock data)
# distmat <- FindNNDist( fullcluster, distmat, meaningn = 20)
FindCell(sim_data, seuratlist, sim_result[[1]], sim_result[[3]], 15)
#> Error in eval(expr, envir, enclos): object 'seuratlist' not found