Back to search

Article

Identification of a Key Glioblastoma Candidate Gene, FUBP3, Based on Weighted Gene Co-expression Network Analysis

2022-01-05

Abstract excerpt

<h4>Background: </h4> Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. However, the molecular mechanism of glioblastoma formation is still poorly understood. To identify candidate genes that may be connected to glioma growth and development, weighted gene co-expression network analysis (WGCNA) was performed to construct a gene co-expression network between gene sets and clinical c...

Topics

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

Identifiers and source

Literature Corpus work
382ece95-356f-5c91-b282-7a4faf72c181
DOI
10.21203/rs.3.rs-1172235/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 a Key Glioblastoma Candidate Gene, FUBP3, Based on Weighted Gene Co-expression Network AnalysisDOI 10.21203/rs.3.rs-1172235/v1
Select a neighboring publication to make it the new centre.