diff --git a/params/subsample_200_ridge.yaml b/params/subsample_200_ridge.yaml
deleted file mode 100644
index 7d6ddfafb..000000000
--- a/params/subsample_200_ridge.yaml
+++ /dev/null
@@ -1,373 +0,0 @@
-param_list:
-  - id: pearson_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: lognorm_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: scgen_pearson_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: scgen_lognorm_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: seurat_pearson_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: seurat_lognorm_celloracle
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: celloracle
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/celloracle.csv
-  - id: pearson_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: lognorm_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: scgen_pearson_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: scgen_lognorm_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: seurat_pearson_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: seurat_lognorm_scenicplus
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: scenicplus
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scenicplus.csv
-  - id: pearson_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: lognorm_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: scgen_pearson_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: scgen_lognorm_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: seurat_pearson_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: seurat_lognorm_figr
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: figr
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/figr.csv
-  - id: pearson_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: lognorm_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: scgen_pearson_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: scgen_lognorm_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: seurat_pearson_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: seurat_lognorm_granie
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: granie
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/granie.csv
-  - id: pearson_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: lognorm_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: scgen_pearson_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: scgen_lognorm_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: seurat_pearson_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: seurat_lognorm_scglue
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: scglue
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    prediction: s3://openproblems-data/resources/grn/grn_models/scglue.csv
-  - id: seurat_lognorm_negative_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: negative_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    
-    
-  - id: pearson_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: pearson
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-  - id: lognorm_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: lognorm
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-  - id: scgen_pearson_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_pearson
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-  - id: scgen_lognorm_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: scgen_lognorm
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-  - id: seurat_pearson_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_pearson
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-  - id: seurat_lognorm_positive_control
-    perturbation_data: s3://openproblems-data/resources/grn/grn-benchmark/perturbation_data.h5ad
-    layer: seurat_lognorm
-    reg_type: ridge
-    method_id: positive_control
-    subsample: 200
-    max_workers: 20
-    consensus: s3://openproblems-data/resources/grn/prior/consensus-num-regulators.json
-    tf_all: s3://openproblems-data/resources/grn/prior/tf_all.csv
-    
-output_state: "state.yaml"
-publish_dir: "s3://openproblems-data/resources/grn/results/subsample_200_ridge"
diff --git a/scripts/run_robust_analys.sh b/scripts/run_robust_analys.sh
new file mode 100644
index 000000000..1f464ff30
--- /dev/null
+++ b/scripts/run_robust_analys.sh
@@ -0,0 +1,70 @@
+#!/bin/bash
+
+# RUN_ID="run_$(date +%Y-%m-%d_%H-%M-%S)"
+
+RUN_ID="robust_analy"
+resources_dir="resources"
+publish_dir="output/${RUN_ID}"
+
+grn_models_folder="${resources_dir}/grn_models"
+reg_type=ridge
+subsample=-2
+max_workers=10
+layer=pearson
+
+param_file="./params/${RUN_ID}.yaml"
+
+
+grn_names=(
+    "collectri"
+    "celloracle"
+    "scenicplus"
+    "figr"
+    "granie"
+    "scglue"
+)
+
+degrees=(10 20 50 100)
+types=(links weight)
+
+# Start writing to the YAML file
+cat > $param_file << HERE
+param_list:
+HERE
+
+append_entry() {
+  cat >> $param_file << HERE
+  - id: ${1}_${2}_${3}
+    layer: ${layer}
+    reg_type: $reg_type
+    method_id: $1
+    subsample: $subsample
+    max_workers: $max_workers
+    consensus: ${resources_dir}/prior/consensus-num-regulators.json
+    prediction: ${grn_models_folder}/$1.csv
+    degree: ${3}
+    type: ${2}
+HERE
+}
+# Loop through grn_names and layers
+for type in "${types[@]}"; do
+    for degree in "${degrees[@]}"; do
+        for grn_name in "${grn_names[@]}"; do
+            append_entry "$grn_name" "$type" "$degree" 
+        done
+    done
+done
+
+# Append the remaining output_state and publish_dir to the YAML file
+cat >> $param_file << HERE
+output_state: "state.yaml"
+publish_dir: "$publish_dir"
+HERE
+
+nextflow run . \
+  -main-script  target/nextflow/workflows/run_robustness_analysis/main.nf \
+  -profile docker \
+  -with-trace \
+  -c src/common/nextflow_helpers/labels_ci.config \
+  -params-file ${param_file}
+
diff --git a/src/api/comp_metric.yaml b/src/api/comp_metric.yaml
index c41dfb032..50e60cdf8 100644
--- a/src/api/comp_metric.yaml
+++ b/src/api/comp_metric.yaml
@@ -39,7 +39,7 @@ functionality:
     - name: --subsample
       type: integer
       direction: input
-      default: -1
+      default: -2
       description: number of samples randomly drawn from perturbation data
       info:
         test_default: 200
diff --git a/src/robustness_analysis/config.vsh.yaml b/src/robustness_analysis/config.vsh.yaml
new file mode 100644
index 000000000..271f8fa6e
--- /dev/null
+++ b/src/robustness_analysis/config.vsh.yaml
@@ -0,0 +1,42 @@
+functionality:
+  name: noise_grn
+  namespace: "robustness_analysis"
+  info:
+    label: noise_grn
+    summary: Adds noise to the GRNs
+  arguments:
+    - name: --prediction
+      type: file
+      direction: input
+      example: resources/grn_models/collectri.csv
+
+    - name: --prediction_n
+      type: file
+      direction: output 
+      example: resources/grn_models/collectri.csv
+
+    - name: --degree
+      type: integer
+      direction: input
+      default: 20
+      description: the degree of noise to add 
+
+    - name: --noise_type
+      type: string
+      direction: input 
+      default: links
+      # options: links, weight
+
+
+  resources:
+    - type: python_script
+      path: script.py
+platforms:
+  - type: docker
+    image: ghcr.io/openproblems-bio/base_python:1.0.4
+    setup:
+      - type: python
+        packages: []
+  - type: nextflow
+    directives:
+      label: [ midtime, highmem, highcpu ]
\ No newline at end of file
diff --git a/src/robustness_analysis/script.py b/src/robustness_analysis/script.py
new file mode 100644
index 000000000..68efe5daa
--- /dev/null
+++ b/src/robustness_analysis/script.py
@@ -0,0 +1,34 @@
+import os
+import pandas as pd
+import numpy as np
+
+## VIASH START
+par = {
+  "prediction": "resources/grn_models/collectri.csv",
+  "prediction_n": "output/grn_noised.csv",
+  'degree': 20,
+  'type': 'links'
+}
+
+## VIASH END
+
+degree = par['degree']/100
+
+prediction = pd.read_csv(par['prediction'])
+assert 'weight' in prediction.columns 
+
+if type =='weight':
+    print('Add noise to weight')
+    std_dev = prediction['weight'].std()
+    noise = np.random.normal(0, degree * std_dev, size=prediction['weight'].shape)
+    prediction['weight'] += noise
+
+elif type =='links':
+    print('Permute links')
+    num_rows_to_permute = int(len(prediction) * degree)
+    permute_indices = np.random.choice(prediction.index, size=num_rows_to_permute, replace=False)
+    
+    prediction.loc[permute_indices, 'weight'] = np.random.permutation(prediction.loc[permute_indices, 'weight'].values)
+print('Output noised GRN')
+prediction.to_csv(par['prediction_n'])
+
diff --git a/src/workflows/robustness_analysis/config.vsh.yaml b/src/workflows/robustness_analysis/config.vsh.yaml
deleted file mode 100644
index f5c6faa72..000000000
--- a/src/workflows/robustness_analysis/config.vsh.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-
-functionality:
-  name: run_robustness_analysis
-  namespace: "workflows"
-  info:
-    label: run_robustness_analysis
-    summary: "Evaluates GRNs and provides scores using regression analysis."
-
-    
-  resources:
-    - type: nextflow_script
-      path: main.nf
-      entrypoint: run_wf
-    - type: file
-      path: ../../api/task_info.yaml
-  dependencies:
-    - name: common/extract_metadata
-      repository: openproblemsv2
-    - name: metrics/regression_1
-  repositories:
-    - name: openproblemsv2
-      type: github
-      repo: openproblems-bio/openproblems-v2
-      tag: main_build
-platforms:
-  - type: nextflow
-    directives:
-      label: [ midtime, midmem, lowcpu ]
diff --git a/src/workflows/run_robustness_analysis/config.vsh.yaml b/src/workflows/run_robustness_analysis/config.vsh.yaml
new file mode 100644
index 000000000..6f359ed98
--- /dev/null
+++ b/src/workflows/run_robustness_analysis/config.vsh.yaml
@@ -0,0 +1,85 @@
+
+functionality:
+  name: run_robustness_analysis
+  namespace: "workflows"
+  info:
+    label: run_robustness_analysis
+    summary: "Evaluates GRNs and provides scores using regression analysis."
+  argument_groups:
+    - name: Inputs
+      arguments:
+        - name: --layer
+          type: string
+          direction: input
+        - name: --prediction
+          type: file
+          direction: input
+          required: false
+        - name: --subsample
+          type: integer
+          direction: input
+          default: 200
+        - name: --reg_type
+          type: string
+          direction: input
+          default: ridge
+        - name: --method_id 
+          type: string 
+          direction: input 
+          required: True
+          example: collectri
+        - name: --max_workers
+          type: integer
+          direction: input
+          required: True
+        - name: --consensus
+          type: file
+          required: false
+          direction: input
+          default: resources/prior/consensus.json
+        - name: --degree
+          type: integer
+          required: false
+          direction: input
+          default: 20
+        - name: --type
+          type: string
+          required: false
+          direction: input
+          default: weight
+        
+        
+    - name: Outputs
+      arguments:
+        - name: "--scores"
+          type: file
+          required: true
+          direction: output
+          default: "scores.yaml"
+        - name: "--metric_configs"
+          type: file
+          required: true
+          direction: output
+          default: metric_configs.yaml
+    
+  resources:
+    - type: nextflow_script
+      path: main.nf
+      entrypoint: run_wf
+    - type: file
+      path: ../../api/task_info.yaml
+  dependencies:
+    - name: common/extract_metadata
+      repository: openproblemsv2
+    - name: metrics/regression_1
+    - name: metrics/regression_2
+    - name: robustness_analysis/noise_grn
+  repositories:
+    - name: openproblemsv2
+      type: github
+      repo: openproblems-bio/openproblems-v2
+      tag: main_build
+platforms:
+  - type: nextflow
+    directives:
+      label: [ midtime, midmem, lowcpu ]
diff --git a/src/workflows/robustness_analysis/main.nf b/src/workflows/run_robustness_analysis/main.nf
similarity index 77%
rename from src/workflows/robustness_analysis/main.nf
rename to src/workflows/run_robustness_analysis/main.nf
index d3eb8ee16..d2358eb53 100644
--- a/src/workflows/robustness_analysis/main.nf
+++ b/src/workflows/run_robustness_analysis/main.nf
@@ -24,34 +24,14 @@ workflow run_wf {
     | map{ id, state ->
         [id, state + ["_meta": [join_id: id]]]
       }
-
-    | positive_control.run(
-      runIf: { id, state ->
-        state.method_id == 'positive_control'
-      },
-      fromState: [
-        perturbation_data: "perturbation_data",
-        layer: "layer",
-        tf_all: "tf_all"
-      ],
-      toState: {id, output, state ->
-        state + [
-          prediction: output.prediction
-        ]
-      }
-    )
-    | negative_control.run(
-      runIf: { id, state ->
-        state.method_id == 'negative_control'
-      },
+    
+    | noise_grn.run(
       fromState: [
-        perturbation_data: "perturbation_data"
+        prediction: "prediction"
       ],
-      toState: {id, output, state ->
-        state + [
-          prediction: output.prediction
+      toState: [
+          prediction_n: "prediction_n"
         ]
-      }
     )
 
     // run all metrics
@@ -62,14 +42,15 @@ workflow run_wf {
       },
       // use 'fromState' to fetch the arguments the component requires from the overall state
       fromState: [
-        perturbation_data: "perturbation_data",
+        prediction_n: "prediction",
         layer: "layer", 
-        prediction: "prediction",
         subsample: "subsample",
         reg_type: "reg_type",
         method_id: "method_id",
         max_workers: "max_workers",
-        consensus: "consensus"
+        consensus: "consensus",
+        degree: "degree",
+        type: "type"
       ],
       // use 'toState' to publish that component's outputs to the overall state
       toState: { id, output, state, comp ->