What's wrong with Constr_net

[GODCALLMEGOD]

When I ran follow codes twice, I just got the error:
`> sc
An object of class Seurat
38771 features across 3726 samples within 1 assay
Active assay: RNA (38771 features, 2000 variable features)
3 layers present: counts, data, scale.data
4 dimensional reductions calculated: PCA, TSNE, pca, umap

sc1<-subset(sc,downsample=100)

sc1<-subset(sc,downsample=100)
DimPlot(sc1,pt.size = 1,label = T,group.by = 'seurat_clusters',label.size = 8)
obj <- CreateScRank(input = sc1,

•                 species = 'human',
  

•                 cell_type = 'seurat_clusters',
  

•                 drug = 'GEMCITABINE')
  

obj <- Constr_net(obj)
--- Cell population ---
C2
C3
C4
C5

---

will be kept for constructing network!
Constructing network for C2
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=16s
Constructing network for C3
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=23s
Constructing network for C4
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=21s
Constructing network for C5
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=20s
Integrating sets of network ... It might take minutes to hours.
Error in array(x, c(length(x), 1L), if (!is.null(names(x))) list(names(x), :
'data' must be of a vector type, was 'NULL'
In addition: Warning message:
In mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, :
scheduled core 2 did not deliver a result, all values of the job will be affected`

[Lee0498]

Hi @GODCALLMEGOD,

Sorry for the delayed response. When the number of cores (n.core_cp) is too high and the available memory isn’t enough, some tasks may fail or return NULL, which could be causing the error.

I recommend modifying the number of parallel cores with parameter n.core_cp and re-running the code:

obj <- Constr_net(obj,n.core_cp = 2)

Alternatively, you can try running without parallelization (n.core_cp = 1).