Article

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis

2024-05-08

Abstract excerpt

Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain with intercourse and infertility. However, the early diagnosis of endometriosis is still restricted. The purpose of this investigation is to identify and validate the key biomarkers of endometriosis. Next generation sequencing (NGS) dataset GSE243039 was obtained fr...

Topics

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

Identifiers and source

Literature Corpus work: 2d7d6474-ecf3-5628-9949-8f38fc5f8c8b
DOI: 10.1101/2024.05.06.592657

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysisDOI 10.1101/2024.05.06.592657Read

Bioinformatical enrichment analysis of genes involved in the pathway of endometriosis diseaseSemantic proximity Read

Integrated Bioinformatic Analysis Reveals the Gene Signatures, Epigenetic Roles, and Regulatory Networks in EndometriosisSemantic proximity Read

Bioinformatical Enrichment Analysis Reveals Key Differentially Expressed Genes in Endometriosis PathogenesisSemantic proximity Read

Identification of molecular subtypes and immune infiltration in endometriosis: a novel bioinformatics analysis and In vitro validationSemantic proximity Read

Autoimmune Disease-Related Hub Genes are Potential Biomarkers and Associated with Immune Microenvironment in EndometriosisSemantic proximity Read

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 algorithmsSemantic proximity Read

Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network AnalysisSemantic proximity Read

Integrated bioinformatics analysis uncovers characteristic genes and molecular subtyping system for endometriosisSemantic proximity Read

Identification of differentially expressed genes and enriched pathways in inflammatory bowel disease using bioinformatics and next generation sequencing data analysisSemantic proximity Read

Gene co-expression network reveals key hub genes associated with endometriosis using bulk RNA-seqSemantic proximity Read

Identification of Candidate Biomarkers Associated With the Diagnosis and Prognosis of Endometrial Cancer ：A Bioinformatics Analysis IdentifiesSemantic proximity Read

Bioinformatic analysis reveals the importance of epithelial-mesenchymal transition in the development of endometriosisSemantic proximity Read