$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?
I'm in an interactive session on a linux cluster.
$use Java-11 $use R-4.1 $R
$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?