Back to search

Article

Combinatorial Bioinformatics Analysis Reveals Novel Biomarkers for Improved Ovarian Cancer Prognosis

2021-06-16

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>: Given the known lethality of highly frequent ovarian cancer (OC) among females, it is imperative to investigate potential biomarkers of prognostic and therapeutic significance. The objective of this study was to identify significant differentially expressed genes (DEGs) with poor prognosis and to explore their underlying mechanisms. <bold>Methods</bold>: We acqu...

Topics

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

Identifiers and source

Literature Corpus work
3f37df51-2f1f-52f5-89df-e395ba0faa14
DOI
10.21203/rs.3.rs-553852/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.
Combinatorial Bioinformatics Analysis Reveals Novel Biomarkers for Improved Ovarian Cancer PrognosisDOI 10.21203/rs.3.rs-553852/v1
Select a neighboring publication to make it the new centre.