Back to search

Article

Determining Potential Therapeutic Targets for Venous Thrombosis through Network Pharmacology, Cluster Typing, WGCNA, Machine Learning, Immune Infiltration Analysis, and ceRNA Networks

2024-01-29

Abstract excerpt

BACKGROUND: Venous thrombosis presents a significant global health challenge, characterized by its high incidence and limited therapeutic effectiveness. Our objective is to leverage the pharmacological insights offered by traditional Chinese medicine networks to identify potential therapeutic targets for venous thrombosis treatment and elucidate their underlying mechanisms of action. METHODS: We initiated our stu...

Topics

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

Identifiers and source

Literature Corpus work
a0a61123-5a78-59f3-94f7-694b00502c24
DOI
10.21203/rs.3.rs-3894556/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.
Determining Potential Therapeutic Targets for Venous Thrombosis through Network Pharmacology, Cluster Typing, WGCNA, Machine Learning, Immune Infiltration Analysis, and ceRNA NetworksDOI 10.21203/rs.3.rs-3894556/v1
Select a neighboring publication to make it the new centre.