Identification of Potential Molecular Mechanism Related to Infertile Endometriosis.

ABSTRACT:

Objectives

In this research, we aim to explore the bioinformatic mechanism of infertile endometriosis in order to identify new treatment targets and molecular mechanism.

Methods

The Gene Expression Omnibus (GEO) database was used to download MRNA sequencing data from infertile endometriosis patients. The "limma" package in R software was used to find differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) was used to classify genes into modules, further obtained the correlation coefficient between the modules and infertility endometriosis. The intersection genes of the most disease-related modular genes and DEGs are called gene set 1. To clarify the molecular mechanisms and potential therapeutic targets for infertile endometriosis, we used

SUBMITTER: Li X 

PROVIDER: S-EPMC8995652 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature