Back to search

Article

Identification of Key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis

2021-09-27

Abstract excerpt

<h4>Background: </h4> Accumulating evidence suggested a strong association between polycystic ovary syndrome (PCOS) and ovarian cancer (OC), but the potential molecular mechanism is still unclear. In this study, we identify unrecognized but significant genes correlated to PCOS and OC via bioinformatics. Materials and methods Multiple bioinformatic analysis, such as Differential expression analysis, Univariate Cox...

Topics

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

Identifiers and source

Literature Corpus work
c90e3f0b-c012-5f3d-89e4-93235210b88f
DOI
10.21203/rs.3.rs-934214/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 Key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisDOI 10.21203/rs.3.rs-934214/v1
Select a neighboring publication to make it the new centre.