Open alexandruioanvoda opened 5 years ago
I've ran the following lines:
library("Seurat") library("dplyr") library("SingleR") SingleR.numCores <- 31 exp.data <- Read10X_h5("/gfs/work/avoda/ibd/data/rna/HCA/immune_census/cord_blood/ica_cord_blood_h5.h5") singler <- CreateBigSingleRObject(exp.data, annot = NULL, project.name = "28Jan_HCA_CB", xy = NULL, clusters = NULL, N = 10000, min.genes = 200, technology = "10X", species = "Human", citation = "", ref.list = hpca, normalize.gene.length = F, variable.genes = "de", fine.tune = F, reduce.file.size = T, do.signatures = F, do.main.types = T, temp.dir = getwd(), numCores = SingleR.numCores)
The reason why I ran it without fine-tuning is for speed & debugging purposes. And I get the following error:
[1] "Dimensions of counts data: 33694x10000" [1] "Annotating data with HPCA..." [1] "Variable genes method: de" [1] "Number of DE genes:4394" [1] "Number of cells: 5620" [1] "Fine-tuning round on top cell types (using 31 CPU cores):" Error in sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE)) : write error, closing pipe to the master Calls: CreateBigSingleRObject ... pbmclapply -> mclapply -> lapply -> FUN -> sendMaster Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent Calls: CreateBigSingleRObject ... SingleR.CreateObject -> SingleR -> SingleR.FineTune -> rownames<- Execution halted
The expression matrix is available here: https://s3.amazonaws.com/preview-ica-expression-data/ica_cord_blood_h5.h5
Yeah, the SingleR.Combine function is not capable to handle non fine-tuned objects... I'll adjust it once I'll have time.
I've ran the following lines:
The reason why I ran it without fine-tuning is for speed & debugging purposes. And I get the following error:
The expression matrix is available here: https://s3.amazonaws.com/preview-ica-expression-data/ica_cord_blood_h5.h5