Back to search

Article

Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis based on Machine Learning and Single-Cell Sequencing Data

2024-10-15

Abstract excerpt

<title>Abstract</title> <p>Background Atherosclerosis (As) is a chronic inflammatory disease characterized by fat deposition on the inner wall of blood vessels, and the related cardiovascular disease has a huge health and economic burden in the world. At present, Ferroptosis and cellular senescence play an important role in the pathogenesis of As. This study combined machine learning and single-cell sequencing d...

Topics

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

Identifiers and source

Literature Corpus work
3ec3f5ab-9301-5db7-912a-05ebb6b45379
DOI
10.21203/rs.3.rs-5239772/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.
Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis based on Machine Learning and Single-Cell Sequencing DataDOI 10.21203/rs.3.rs-5239772/v1
Select a neighboring publication to make it the new centre.