@GeorgescuC
Hi, thanks for developing this useful tool, yet I have encountered a problem:
I'm using infercnv on a dataset contained about 200k cells (20k in observation data and 180k in reference data).
In the step
"Making the final infercnv heatmap",
the process stays at
"INFO [2023-08-11 23:36:48] plot_cnv_references:Start
INFO [2023-08-11 23:36:48] Reference data size: Cells= 189435 Genes= 4738"
for over 30 hours, and is still running, I wonder if this is normal? Should I just keep on waiting? or there is something wrong with my code? Thanks!
@GeorgescuC Hi, thanks for developing this useful tool, yet I have encountered a problem:
I'm using infercnv on a dataset contained about 200k cells (20k in observation data and 180k in reference data). In the step
"Making the final infercnv heatmap",
the process stays at
"INFO [2023-08-11 23:36:48] plot_cnv_references:Start INFO [2023-08-11 23:36:48] Reference data size: Cells= 189435 Genes= 4738"
for over 30 hours, and is still running, I wonder if this is normal? Should I just keep on waiting? or there is something wrong with my code? Thanks!
infercnv_obj <- infercnv::run(infercnv_input, cutoff=0.1, min_cells_per_gene = 3, out_dir="cnv_output_dir_2", cluster_by_groups= T, plot_steps= F, mask_nonDE_genes = F, k_obs_groups = 1, hclust_method = "complete", denoise=T, output_format = "png", HMM=F, write_expr_matrix = T, num_threads=4 )
PS: The same step for observation data(20k cells) only takes less than one minute.