Back to search

Article

Identification of Exercise Signature Genes Potentially Associated with Major Depressive Disorder by Combining Bioinformatics, Machine Learning, and Mendelian Randomization Analysis

2024-04-02

Abstract excerpt

<h4>Purpose: </h4> Aberrant alterations in exercise-related genes can significantly increase the vulnerability to major depressive disorder (MDD). This study aimed to systematically screen and identify exercise genes associated with the onset of MDD. <h4>Method: </h4> The Gene Expression Omnibus and GeneCards databases were jointly utilized to screen for exercise differentially expressed genes (DEGs) in the depre...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2f8e6d8c-5f08-53f4-9639-46267f9158d1
DOI
10.21203/rs.3.rs-4121013/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of Exercise Signature Genes Potentially Associated with Major Depressive Disorder by Combining Bioinformatics, Machine Learning, and Mendelian Randomization AnalysisDOI 10.21203/rs.3.rs-4121013/v1
Select a neighboring publication to make it the new centre.