Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Run frozen at 0% #95

Open
brycemash opened this issue May 30, 2023 · 2 comments
Open

Run frozen at 0% #95

brycemash opened this issue May 30, 2023 · 2 comments

Comments

@brycemash
Copy link

I'm in an interactive session on a linux cluster.

$use Java-11
$use R-4.1
$R

d <- readRDS('broad/dunnlab/GBM_Single_Cell/Seurat_files/Integrated_Data_Sets/PanCancer_Final/Pre_Scale/merged.RPCA.int.rds')
library(Seurat)
library(Matrix)
d <- d[, sample(colnames(d), size = 2000, replace=F)]

Extract expression matrix and gene metadata

expression_matrix <- d@assays$RNA@data
gene_metadata <- rownames(expression_matrix)
output_directory <- "broad/dunnlab/BLM/conda_libraries/compass"
sparse_matrix <- Matrix(as.matrix(expression_matrix), sparse = TRUE)
writeMM(sparse_matrix, file = paste0(output_directory, "/expression.mtx"))
write.table(gene_metadata, file = paste0(output_directory, "/genes.tsv"), sep = "\t", row.names = FALSE, col.names = FALSE, quote = FALSE)
quit()

$conda activate /broad/dunnlab/BLM/conda_libraries/compass
$#python -m pip install git+https://github.com/yoseflab/Compass.git --upgrade
$conda install pandas=1.5.3
$#export PATH=$PATH:/home/unix/mashimo/.local/bin/ #required for pip
$#export PATH=$PATH:/broad/dunnlab/BLM/conda_libraries/compass #required for compass
$cd /broad/dunnlab/BLM/conda_libraries/compass/
$compass --data-mtx expression.mtx genes.tsv --species homo_sapiens --num-processes 10
Cache for model and media already built
Evaluating Reaction Penalties...
/broad/dunnlab/BLM/conda_libraries/compass/lib/python3.8/site-packages/compass/compass/penalties.py:158: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.
for name, expression_data in expression.iteritems():
Processing 2000 samples using 10 processes
Progress bar will update once the first sample is finished
0%| | 0/2000 [00:00<?, ?it/s]

I'm a bit confused on how you use scRNA data and what the "samples" would mean... would they just be averages of the cells in a sample?

@brycemash
Copy link
Author

i tried again with 52 processes and 3 threads and still stuck at 0%

@wuxiangning
Copy link

hello!did u solve this issue. I meet the same issue recently

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants