diff --git a/disease_module_obtention/2_disease_module_identification/src/README.md b/disease_module_obtention/2_disease_module_identification/src/README.md
index f566dbc81f8f7862f8bebdf98ac5f9a3ca45f87c..839c53f07be21f8359a6093df029e9e200d895aa 100644
--- a/disease_module_obtention/2_disease_module_identification/src/README.md
+++ b/disease_module_obtention/2_disease_module_identification/src/README.md
@@ -43,10 +43,13 @@ When everything is set up, you can run the different algorithms locally or in do
 ```bash
 python main.py
 ```
-For adding the thersholds analysis, 
+To run the analysis implementing the GDA score, execute:
 ```bash
 python main.py --thresholds
 ```
+This creates gene lists based on GDA score thresholds in intervals [x,1], where x ranges from 0 to 0.9 in steps of 0.1. The analysis applies to the LCC, DOMINO, ROBUST, and TOPAS methods.
+
+For DIAMOnD, seed genes are weighted by GDA score: scores are grouped into intervals [x, x+0.1), and seeds receive weights from 1 to 10 (e.g., [0,0.1) = 1, ..., [0.9, 1] = 10), increasing their influence in the module construction.
 ### For running it in docker desktop...
 To create a docker image:
 ```bash