Open 745757 opened 1 year ago
Hi @745757 ,
Which version of infercnv are you using?
Looking at the log or the backup of the object at step 14, what size is your matrix?
backup_obj = readRDS("14_invert_log_transformHMMi6.infercnv_obj")
dim(backup_obj@expr.data)
Regards, Christophe.
@GeorgescuC
Hello, I also encountered the same issue. the result of dim(backup_obj@expr.data)
of my data is
[1] 5531 45149
How can I resolve this issue?
Hi @axiba053 ,
Are you running the latest version of infercnv, or a somewhat recent version?
If you are on a Linux machine, can you try running options(bitmapType="Xlib")
before trying to plot again?
If this doesn't solve the issue, what are the commands you are running? And would you be able to share the data privately? (the backup of the object at the step where the plotting error occurs)
Regards, Christophe.
Hello, When I run the code 'infercnv::run(...)' in Linux with the big data "dim() ->18965,68431", it will occurs the following Error "Error in plot.new() : figure margins too large", and it show the following calls "Calls: run ... image -> image.default -> plot -> plot.default -> plot.new". Meanwhile, in the results, it don't have the following files/figures, including:"preliminary.infercnv_obj", "infercnv.preliminary.png", "run.final.infercnv_obj", "infercnv.png" ...
While I try running options(bitmapType="Xlib") before trying to plot again, it shows the following Error "Error in .External2(C_X11, paste0("png::", filename), g$width, g$height, : unable to start device PNG" and it show the following calls "Calls: run -> plot_subclusters -> plot_cnv -> png"
I didn't find an effective solution, How can I resolve this issue?
This was resolved when I used the earlier version 12.0
Hi
@Hecunzou , Which version of infercnv are you using? When using the "Xlib" change, are you running R on your current machine, or on a server your are connected to? If you are using a server, have you also enabled X11 forwarding when connecting to it?
@745757 , Which version were you using prior to changing to 1.12.0? To have an idea of what change might have introduced the issue.
Regards, Christophe.
Hi, GeorgescuC
I'm using the version 1.16.0, and using infercnv on a Linux server.
When I run the code 'infercnv::run(...)' in Linux server with the big data "dim() ->18965,68431", even, the cells number (the number of column) more than 50000, it will occurs the following Error "Error in plot.new() : figure margins too large", and it show the following calls "Calls: run ... image -> image.default -> plot -> plot.default -> plot.new". Meanwhile, in the results, it don't have the following files/figures, including:"preliminary.infercnv_obj", "infercnv.preliminary.png", "run.final.infercnv_obj", "infercnv.png" ...
While I try running options(bitmapType="Xlib") before trying to plot again, it shows the following Error "Error in .External2(C_X11, paste0("png::", filename), g$width, g$height, : unable to start device PNG" and it show the following calls "Calls: run -> plot_subclusters -> plot_cnv -> png". Meanwhile, in the results, it don't have the above files/figures.
Now, I try to cut down the number of cells. This was resolved when I run the code 'infercnv::run(...)' in Linux server with the number of column less than 45000.
------------------ Original ------------------ From: @.>; Date: Fri, Jun 16, 2023 00:24 AM To: @.>; Cc: @.>; @.>; Subject: Re: [broadinstitute/infercnv] Error in plot.new() : figure margins too large (Issue #533)
Hi
@Hecunzou , Which version of infercnv are you using? When using the "Xlib" change, are you running R on your current machine, or on a server your are connected to? If you are using a server, have you also enabled X11 forwarding when connecting to it?
@745757 , Which version were you using prior to changing to 1.12.0? To have an idea of what change might have introduced the issue.
Regards, Christophe.
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@GeorgescuC,
I am runnning inferCNV 1.16.0 and have the same error after setting options(bitmapType="Xlib")
and enabling X11 forwarding while connecting to compute canada:
Error in .External2(C_X11, paste0("png::", filename), g$width, g$height, :
unable to start device PNG
Calls: lapply ... FUN -> <Anonymous> -> plot_subclusters -> plot_cnv -> png
Here is the code I use:
library(Seurat)
library(infercnv)
options(scipen = 100)
options(bitmapType="Xlib")
mydata<-readRDS("list.sample_annotated_ALLpreviousbyCLUSTERS.rds")
mydata<-lapply(names(mydata), function(x){
DefaultAssay(mydata[[x]])<-'RNA'
df<-mydata[[x]]@meta.data
df<-subset(df,select = c('annotation'))
write.table(df, file=paste(x,'cluster_annotation.tsv',sep='_'), quote=FALSE, sep='\t', col.names = F)
#remove MHC genes from seurat object
MHC_genes<-read.table('group-588.csv', quote = '"', header = T, sep = ',')
counts <- GetAssayData(mydata[[x]], assay = "RNA")
subcounts <- counts[-(which(rownames(counts) %in% MHC_genes$Approved.symbol)),]
mydata[[x]]<-subset(mydata[[x]], features = rownames(subcounts))
# create the infercnv object from the Seurat object
infercnv_obj = CreateInfercnvObject(raw_counts_matrix=as.matrix(mydata[[x]]@assays$RNA@counts),
annotations_file=paste(x,'cluster_annotation.tsv',sep='_'),
delim="\t",
gene_order_file='genes.tsv',
ref_group_names=c("previous.Macrophage and Microglia.1","previous.Oligodendrocyte.6","previous.Macrophage and Microglia.8","previous.Oligodendrocyte.0","previous.Macrophage and Microglia.3","previous.Endothelial.13","previous.Macrophage and Microglia.4","previous.Macrophage and Microglia.2","previous.T-cells.9","previous.Ependymal.17","previous.Mural.14","previous.Oligodendrocyte.7","previous.Macrophage and Microglia.10","previous.RBC.15","previous.Macrophage and Microglia.11","previous.UN1.12","previous.NK-cells.16"))
infercnv_obj = infercnv::run(infercnv_obj,
cutoff=0.1, # use 1 for smart-seq, 0.1 for 10x-genomics
out_dir=paste(x,"refAllPreviousbyCLUSTER_win101_modeSubcluster",sep='_'),
num_threads = 22,window_length = 101, #increase the windows to call large CNV events (reducing the noise)
HMM_type = 'i6',BayesMaxPNormal = 0.5,
plot_steps = F, plot_probabilities = F, save_rds = F, save_final_rds = T,no_prelim_plot = T,
cluster_by_groups=T, # cluster
denoise=T,
analysis_mode = "subcluster")
Note that there are a lot of clusters (17) as reference and I had initially the error: Error in plot.new() : figure margins too large
before adding options(bitmapType="Xlib")
How can we fix that issue?
When I run the code in Linux infercnv_obj = infercnv::run(infercnv_obj, Cutoff = 0.1, out_dir="infercnv", cluster_by_groups=TRUE, denoise=TRUE, HMM=TRUE, num_threads=32)
In step 14, the following Error occurs: Error in plot.new() : figure margins too large
Unfortunately, I didn't find an effective solution