Identification of key modules and candidate genes associated with endometriosis based on transcriptome data via bioinformatics analysis
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Cited by (7)
- Characteristics of menstrual blood-derived stem cells from women with endometriosis: A systematic review 2026
- Sanleng Wan inhibits endometriosis progression by regulating sphingolipid metabolism via the S1P/S1PR1-Akt axis based on serum metabolomics and network pharmacology 2025
- The role of the CXC chemokine family in endometriosis research and its therapeutic potential 2025
- Bioinformatics-driven identification and validation of hub genes regulating endometriosis-related infertility within human granulosa cells 2025
- Hypomethylation of IL6ST promotes development of endometriosis by activating JAK2/STAT3 signaling pathway 2025
- Understanding the Molecular Landscape of Endometriosis: A Bioinformatics Approach to Uncover Signaling Pathways and Hub Genes 2024
- Endometriosis: recent advances that could accelerate diagnosis and improve care 2024
Source provenance
- europepmc
- last seen: 2026-06-04T01:30:01.192114+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-29T00:33:47.784319+00:00
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