added resource usage md

src/method_comparison/resource_usage/README.md

@@ -0,0 +1,4 @@
+# Resource Usage
+
+**algorithm_resource_usage:** scripts for supsampling the datasets and running each algorithm.
+**db_building_resource_usage:** scripts to measure database building

src/method_comparison/resource_usage/algorithm_resource_usage/README.md

@@ -0,0 +1,3 @@
+# Resource Usage: Algorithms
+
+Within each directory named after the tool, you'll find measurements obtained from [psrecord](https://github.com/astrofrog/psrecord) for subsampled data. The subsampling directory contains scripts for data splitting and running each tool.

src/method_comparison/resource_usage/algorithm_resource_usage/subsampling/Lasry/run_workflow.sh

@@ -13,8 +13,6 @@ if [ "$1" == "--lasry" ]; then
 
 #    jupyter run /src/method_comparison/compare_algorithms/run_CellPhoneDB/run_algorithm/run_CPDB_Lasry.ipynb
 #    ./src/method_comparison/compare_algorithms/run_CellPhoneDB/run_algorithm/runCPDB_Lasry.sh
-elif [ "$1" == "--hourigan" ]; then
-    download_raw_data "Hourigan"
 else
     echo "Usage: $0 [--lasry | --hourigan]"
     exit 1

src/method_comparison/resource_usage/algorithm_resource_usage/subsampling/README.md

@@ -0,0 +1,13 @@
+# Resource Usage: Algorithms
+
+To begin, we use the `split.py` script to subsample the data. This script takes the directory of the count matrix and splits it into smaller subsets under the given output directory.
+
+Below is the detailed information on splitting:
+
+
+
+| Tool            | Subsampling Configurations                                   |
+|-----------------|--------------------------------------------------------------|
+| Lasry           | 3 case, 3 control <br> 7 case, 6 control                    |
+| Simillie        | 3 case, 3 control <br> 7 case, 6 control <br> 10 case, 12 control <br> 17 case, 11 control |
+| vanGalen_Oetjen | 3 case, 3 control <br> 7 case, 6 control <br> 9 case, 10 control <br> 24 case, 9 control |