Creating Basis Matrix adjusted for maximal variance weight
Error in SCDC_prop(bulk.eset = bulk.eset, sc.eset = zz, ct.varname = ct.varname, :
Too few common genes!
min(nrow(Fib.es), nrow(sc2.qc$sc.eset.qc))
[1] 21579 ## Min number of genes present in the ExpressionSets are 21579
length(intersect(rownames(Fib.es),rownames(sc2.qc$sc.eset.qc)))
[1] 4294 ## 4294 common genes.
Any advise on parameters or methods I can use to address this issue?
Hello,
Firstly, thanks a lot for your tool, So far I've found your vignette really intuitive and your package really easy to use.
I'm currently testing how well deconvolution works on 'ground-truth' bulk samples taken from GTEx (i.e. their cultured fibroblast cells).
I get this error when trying to estimate the proportions using SDCD_prop() & SCDC_ENSEMBLE()
cts <- c("Epithelial","Tcell","NK-cell","Macrophage", "Fibroblast","Endothelial") ## Cell-types present in my sc2.es object
res <- SCDC_prop(bulk.eset = Fib.es , sc.eset = sc2.qc$sc.eset.qc, ct.varname = "Cell-Type", sample = "SampleID", ct.sub = cts, truep = NULL )
Creating Basis Matrix adjusted for maximal variance weight Error in SCDC_prop(bulk.eset = bulk.eset, sc.eset = zz, ct.varname = ct.varname, : Too few common genes!
Any advise on parameters or methods I can use to address this issue?
Many thanks in advance.