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hi, when I run the inferCNV up to the point, based on the previous discuss, I tried to adjust the ulimit, but it doesn't work at all.
so I want to know if there is any methods yet.
INFO [2022-12-15 07:03:54] -mirroring for hspike
INFO [2022-12-15 07:03:54] define_signif_tumor_subclusters(p_val=0.1
INFO [2022-12-15 07:03:55] define_signif_tumor_subclusters(), tumor: all_observations
INFO [2022-12-15 07:03:55] define_signif_tumor_subclusters(), tumor: simnorm_cell_normalsToUse
INFO [2022-12-15 07:07:41] ::plot_cnv:Start
INFO [2022-12-15 07:07:41] ::plot_cnv:Current data dimensions (r,c)=10478,21023 Total=220520877.289766 Min=0.715669324907483 Max=1.61318599172622.
INFO [2022-12-15 07:08:07] ::plot_cnv:Depending on the size of the matrix this may take a moment.
INFO [2022-12-15 07:08:47] plot_cnv(): auto thresholding at: (0.873603 , 1.128593)
INFO [2022-12-15 07:08:53] plot_cnv_observation:Start
INFO [2022-12-15 07:08:53] Observation data size: Cells= 21023 Genes= 10478
The text was updated successfully, but these errors were encountered:
Based on the last log message shown and your settings, the error appears to happen in the plotting when trying to write the dendrogram/hclust to file with ape::write.tree() which uses recursion internally.
If you are unable to change the stack limit on your system to increase max recursion depth, the work around would be to remove the write.tree calls in the code (as there is currently no option to control that) or disable plotting if you are only interested in the text outputs and R object.
have you tried “ulimit -s unlimited“,I used this code, but still getting the same error.
At present, I have given the stack a specified value,(ulimit -s 51200), it is running now. I don’t know if the result will be normal. you can have a try
A new option has been added recently to both run() and plot_cnv(), write_phylo which defaults to FALSE. The option controls if the dendrogram/hclust is converted to a newick string to write to file during plotting. That conversion is actually the call that uses recursion, so on the latest version, the issue should not happen in this location anymore.
hi, when I run the inferCNV up to the point, based on the previous discuss, I tried to adjust the ulimit, but it doesn't work at all.
so I want to know if there is any methods yet.
infCNV = infercnv::run(infCNV,
cutoff=0.1,
out_dir="./Outputs",
num_threads = 10,
cluster_by_groups=FALSE,
denoise=TRUE,
HMM=TRUE)
INFO [2022-12-15 07:03:54] -mirroring for hspike
INFO [2022-12-15 07:03:54] define_signif_tumor_subclusters(p_val=0.1
INFO [2022-12-15 07:03:55] define_signif_tumor_subclusters(), tumor: all_observations
INFO [2022-12-15 07:03:55] define_signif_tumor_subclusters(), tumor: simnorm_cell_normalsToUse
INFO [2022-12-15 07:07:41] ::plot_cnv:Start
INFO [2022-12-15 07:07:41] ::plot_cnv:Current data dimensions (r,c)=10478,21023 Total=220520877.289766 Min=0.715669324907483 Max=1.61318599172622.
INFO [2022-12-15 07:08:07] ::plot_cnv:Depending on the size of the matrix this may take a moment.
INFO [2022-12-15 07:08:47] plot_cnv(): auto thresholding at: (0.873603 , 1.128593)
INFO [2022-12-15 07:08:53] plot_cnv_observation:Start
INFO [2022-12-15 07:08:53] Observation data size: Cells= 21023 Genes= 10478
The text was updated successfully, but these errors were encountered: