You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
#Device to use for association mapping. See Pytorch documentation for details.
device='cuda:0'
#Base directory of data for pipeline
dirbase='data'
#Base directory of log for pipeline
dirlbase='log'
#List of discrete cell and donor covariates to subset cells into distinct groups for separate sceQTL mapping
subset_covs=(['celltype'],['infection'])
#Easy option to determine whether covariates defined in dc*.tsv.gz are used for sceQTL mapping. Options are 'all' or 'none'. More complex choices need to be defined in the rule 'association'.
covs="none"
#Whether to print verbose log messages
verbose=True
#Optional parameters to finetune each step. See `airqtl eqtl subset --help` or similar for details.