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    <identifier>10.57760/sciencedb.xbyxb.00039</identifier>
    <datestamp>2024-11-08T11:30:05Z</datestamp>
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  <dc:date>2024-11-08</dc:date>
  <dc:title>Supplementary Figure S1  GSEA and ssGSEA analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.xbyxb.00039</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Bubble plots exhibited the top-ranked GSEA results for the top-ranked KEGG pathways in (A) recurrent POP compared with primary POP uterosacral ligaments, and (B) recurrent POP compared with non-POP uterosacral ligaments. The classic GSEA plots showed that both adipose- and inflammation-related pathways were activated in the two contrast matrices for (C) recurrent POP vs.vs primary POP uterosacral ligaments, and (D) recurrent POP vs.vs non-POP uterosacral ligaments. Heatmaps showed hierarchical clustering of ssGSEA scores of KEGG pathways differentially enriched in (E) recurrent POP vs.vs primary POP uterosacral ligaments and (F) recurrent POP vs.vs non-POP uterosacral ligaments. (G) Spearman correlation analysis of pathway ssGSEA scores revealed that PPAR signaling pathways was strongly associated with adipose- and inflammation-related pathways in non-POP, primary POP and recurrent POP uterosacral ligaments. GSEA, g: Gene set enrichment analysis; ssGSEA, the s: Single-sample gene set enrichment analysis; POP, p: Pelvic organ prolapses; NES, n: Normalized enrichment scores.</dc:description>
  <dc:subject>GSEA; ssGSEA; pelvic organ prolapse</dc:subject>
  <dc:creator>Li Jiang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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