submit_compute_sea_network: Compute target vs. target scores for all targets in the...
In momeara/SEAR: R Tools for working with the Similarity Ensemble Approach Program
Description
Usage
Arguments
Details
Value
Description
run_base <- <runs_dir>/<library_id>_vs_<library_id>
Usage
1
2
3
submit_compute_sea_network(library_fname, library_id, fp_type, runs_dir = ".",
config_files = NULL, target_range = "all", verbose = TRUE,
dry_run = FALSE)
Arguments
library_fname
.sea file
generated with SEAR::pack.library(...)
and then the background fit with plot_fits.library(...) and then set_fit.library(...)
Details
cd <run_base>/logs
qsub -t 1-<n_targets> <path/to/sea-wrapper.sh> <run_base> <library_fname> <fp_type>
then run SEAR::collect_compute_sea_network(...) to generate scores file
Value
run_base
momeara/SEAR documentation built on May 23, 2019, 6:09 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value
Description
run_base <- <runs_dir>/<library_id>_vs_<library_id>
Usage
1 2 3 | submit_compute_sea_network(library_fname, library_id, fp_type, runs_dir = ".",
config_files = NULL, target_range = "all", verbose = TRUE,
dry_run = FALSE)
|
Arguments
library_fname |
.sea file generated with SEAR::pack.library(...) and then the background fit with plot_fits.library(...) and then set_fit.library(...) |
Details
cd <run_base>/logs qsub -t 1-<n_targets> <path/to/sea-wrapper.sh> <run_base> <library_fname> <fp_type>
then run SEAR::collect_compute_sea_network(...) to generate scores file
Value
run_base
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.