Back to search

Article

Bioinformatical enrichment analysis of genes involved in the pathway of endometriosis disease

2024-02-09

Abstract excerpt

Endometriosis is a gynecological disease characterized by the presence of uterine (eutopic) endometrial glands and tissues outside the intra-uterine locations, in ectopic regions such as the pelvic peritoneum, fallopian tubes, or ovaries. Approximately 5-10% of reproductive and 20-50% of infertile women are affected by endometriosis. The pathogenesis of endometriosis involves various factors, including hormonal, e...

Topics

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

Identifiers and source

Literature Corpus work
ff0afc67-a750-571b-b1b9-8151b5e1c0c8
DOI
10.1101/2024.02.09.24302561
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.
Bioinformatical enrichment analysis of genes involved in the pathway of endometriosis diseaseDOI 10.1101/2024.02.09.24302561
Bioinformatical Enrichment Analysis Reveals Key Differentially Expressed Genes in Endometriosis PathogenesisSemantic proximity
Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysisSemantic proximity
Identification of molecular subtypes and immune infiltration in endometriosis: a novel bioinformatics analysis and In vitro validationSemantic proximity
Integrated bioinformatics analysis uncovers characteristic genes and molecular subtyping system for endometriosisSemantic proximity
Identification of global transcriptome abnormalities and potential biomarkers in eutopic endometria of women with endometriosis: A preliminary studySemantic proximity
Bioinformatic analysis reveals the importance of epithelial-mesenchymal transition in the development of endometriosisSemantic proximity
Identification of differentially expressed genes and signalling pathways related to ovarian endometriosis based on integrated bioinformatic analysisSemantic proximity
Identification of key genes associated with endometriosis and endometrial cancer by bioinformatics analysisSemantic proximity
Identification and Diagnostic Potential of Pyroptosis-Related Genes in Endometriosis: A Novel Bioinformatics AnalysisSemantic proximity
Molecular Mechanisms of Endometriosis Revealed Using Omics DataSemantic proximity
Integrated Bioinformatic Analysis Reveals the Gene Signatures, Epigenetic Roles, and Regulatory Networks in EndometriosisSemantic proximity
Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targetsSemantic proximity
Select a neighboring publication to make it the new centre.