Identification and validation of shared genes and key pathways in endometriosis and endometriosis‐associated ovarian cancer by weighted gene co‐expression network analysis and machine learning algorithms
Abstract:Background
Epidemiological studies reported that patients with endometriosis had an increased risk of developing endometriosis‐associated ovarian cancer (EAOC). The present study aimed to identify shared genes and key pathways that commonly interacted between EAOC and endometriosis.
Methods
The expression matrix of ovarian cancer and endometriosis were collected from the Gene Expression Omnibus database. The weighted gene co‐expression network analysis (WGCNA) was used to construct co‐expression gene network. … Show more
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