Back to search

Article

Hub genes of stroke identified by weighted gene co-expression network analysis

2019-09-20

Abstract excerpt

<title>Abstract</title> <p>Background Microarray-based gene expression profiling has been widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) can link microarray data directly to clinical traits and to identify rules for predicting pathological stage and prognosis of disease, it has been found useful in many biological processes. Stroke is one of the most common diseases world...

Topics

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

Identifiers and source

Literature Corpus work
3cd9305d-22e8-5da0-a022-69d57f502df0
DOI
10.21203/rs.2.14681/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.
Hub genes of stroke identified by weighted gene co-expression network analysisDOI 10.21203/rs.2.14681/v1
Select a neighboring publication to make it the new centre.