Commit 7a5555e8 authored by Laura Masa's avatar Laura Masa

Update README.md

parent d996c32c
...@@ -9,7 +9,7 @@ A visual summary of the entire workflow and main steps of the project is shown b ...@@ -9,7 +9,7 @@ A visual summary of the entire workflow and main steps of the project is shown b
![Alt text](GEO.png) ![Alt text](GEO.png)
##**Objectives** ## **Objectives**
The principal objective of this thesis was to design and implement an automated system for the extraction, processing, and analysis of gene-disease association data. This system was developed to generate a detailed gene-disease annotation model, including gene identifiers, gene expression profiles, and comprehensive metadata. The automation of these processes was intended to provide a structured and efficient platform to support biomedical research efforts and the identification of novel therapeutic targets. The principal objective of this thesis was to design and implement an automated system for the extraction, processing, and analysis of gene-disease association data. This system was developed to generate a detailed gene-disease annotation model, including gene identifiers, gene expression profiles, and comprehensive metadata. The automation of these processes was intended to provide a structured and efficient platform to support biomedical research efforts and the identification of novel therapeutic targets.
In addition to the main objective, the thesis aimed to achieve several secondary goals: In addition to the main objective, the thesis aimed to achieve several secondary goals:
...@@ -19,7 +19,7 @@ In addition to the main objective, the thesis aimed to achieve several secondary ...@@ -19,7 +19,7 @@ In addition to the main objective, the thesis aimed to achieve several secondary
3. Modeling Disease-Gene Associations: To enhance the semantic understanding and predictive accuracy of gene-disease relationships through advanced modeling techniques. 3. Modeling Disease-Gene Associations: To enhance the semantic understanding and predictive accuracy of gene-disease relationships through advanced modeling techniques.
**Folders structure** ## **Folders structure**
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