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A new issue seems to have arisen for me while executing SoupX during QC:
%%R -i data -i data_tod -i genes -i cells -i soupx_groups -o out rownames(data) = genes colnames(data) = cells data <- as(data, "sparseMatrix") data_tod <- as(data_tod, "sparseMatrix") sc = SoupChannel(data_tod, data, calcSoupProfile = FALSE) soupProf = data.frame(row.names = rownames(data), est = rowSums(data)/sum(data), counts = rowSums(data)) sc = setSoupProfile(sc, soupProf) sc = setClusters(sc, soupx_groups) sc = autoEstCont(sc, doPlot=FALSE) out = adjustCounts(sc, roundToInt = TRUE)
I keep getting the error: Error in rowSums(data) : 'x' must be an array of at least two dimensions
Error in rowSums(data) : 'x' must be an array of at least two dimensions
This same piece of code worked for me on several occasions, but now the rowSums function does not seem to work. Can anyone help?
Thanks a lot in advance!
The text was updated successfully, but these errors were encountered:
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A new issue seems to have arisen for me while executing SoupX during QC:
%%R -i data -i data_tod -i genes -i cells -i soupx_groups -o out
rownames(data) = genes
colnames(data) = cells
data <- as(data, "sparseMatrix")
data_tod <- as(data_tod, "sparseMatrix")
sc = SoupChannel(data_tod, data, calcSoupProfile = FALSE)
soupProf = data.frame(row.names = rownames(data), est = rowSums(data)/sum(data), counts = rowSums(data))
sc = setSoupProfile(sc, soupProf)
sc = setClusters(sc, soupx_groups)
sc = autoEstCont(sc, doPlot=FALSE)
out = adjustCounts(sc, roundToInt = TRUE)
I keep getting the error:
Error in rowSums(data) : 'x' must be an array of at least two dimensions
This same piece of code worked for me on several occasions, but now the rowSums function does not seem to work. Can anyone help?
Thanks a lot in advance!
The text was updated successfully, but these errors were encountered: