Hello, when i did the first step to input my Seurat to quantify single-cell metabolism,it has problem as follow:
`> countexp.Seurat<-sc.metabolism.Seurat(obj =immune, method = "VISION", imputation = F, ncores = 1, metabolism.type = "KEGG")
Your choice is: KEGG
Start quantify the metabolism activity...
Loading data from C:/Program Files/R/R-4.0.2/library/scMetabolism/data/KEGG_metabolism_nc.gmt ...
Using 20447/30242 genes detected in 0.10% of cells for signature analysis.
See the sig_gene_threshold input to change this behavior.
Beginning Analysis
Computing a latent space for expression data...
Determining projection genes...
Applying Threshold filter...removing genes detected in less than 2364 cells
Genes Retained: 8259
Applying Fano filter...removing genes with Fano < 2.0 MAD in each of 30 bins
Genes Retained: 1781
Clustering cells...
Using latent space to cluster cells...
Error in igraph::cluster_louvain(g) :
REAL() can only be applied to a 'numeric', not a 'builtin'
In addition: Warning message:
In readSignaturesInput(signatures) : NAs introduced by coercion`
Firstly, i doubed that it was something wrong about my Seurat object. However, it had the same problem when i run the example "pbmc_demo.rda", how could i do to fix it? So many thanks!!
Hello, when i did the first step to input my Seurat to quantify single-cell metabolism,it has problem as follow: `> countexp.Seurat<-sc.metabolism.Seurat(obj =immune, method = "VISION", imputation = F, ncores = 1, metabolism.type = "KEGG")
Your choice is: KEGG Start quantify the metabolism activity... Loading data from C:/Program Files/R/R-4.0.2/library/scMetabolism/data/KEGG_metabolism_nc.gmt ...
Using 20447/30242 genes detected in 0.10% of cells for signature analysis. See the
sig_gene_threshold
input to change this behavior.Beginning Analysis
Computing a latent space for expression data...
Determining projection genes... Applying Threshold filter...removing genes detected in less than 2364 cells Genes Retained: 8259 Applying Fano filter...removing genes with Fano < 2.0 MAD in each of 30 bins Genes Retained: 1781
Clustering cells... Using latent space to cluster cells... Error in igraph::cluster_louvain(g) : REAL() can only be applied to a 'numeric', not a 'builtin' In addition: Warning message: In readSignaturesInput(signatures) : NAs introduced by coercion`
Firstly, i doubed that it was something wrong about my Seurat object. However, it had the same problem when i run the example "pbmc_demo.rda", how could i do to fix it? So many thanks!!