Back to search

Article

Identification of the Molecular Subtypes of Acute Ischemic Stroke Using Bioinformatics and Machine Learning

2024-03-21

Abstract excerpt

<title>Abstract</title> <p>Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological processes, which can lead to disability and death. This study aimed to determine necroptosis-associated genes in Acute ischemic stroke (AIS) and to investigate their potential as diagnostic and therapeutic targets for AIS. Expression profiling data were acquired from the Gene Expression Omnibus...

Topics

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

Identifiers and source

Literature Corpus work
1908812c-b848-5a04-aa84-5e1aac122a20
DOI
10.21203/rs.3.rs-4117025/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 the Molecular Subtypes of Acute Ischemic Stroke Using Bioinformatics and Machine LearningDOI 10.21203/rs.3.rs-4117025/v1
Select a neighboring publication to make it the new centre.