Okay, I'm trying to answer these questions about how pathway enrichment analysis was conducted in this scientific article. The focus is on the Methods section and other relevant parts. 1. **What tool was used for pathway enrichment analysis?** - Looking through the Methods, it mentions using GSEA (Gene Set Enrichment Analysis) for functional categories. So GSEA was the tool. 2. **Was a tool version number provided?** - The article doesn't mention any specific version of GSEA or other tools used in the pathway analysis. It only details the bioinformatics pipeline without version numbers. 3. **What gene set library was queried (e.g., GO, KEGG, Reactome or other)?** - The article doesn't specify which gene set libraries were used for enrichment. They mention functional groups like apoptosis and transport but don't reference standard databases like GO or KEGG. 4. **Was a background gene list defined for pathway enrichment analysis?** - Yes, they used all coding genes (n=14,626) as the background list when comparing functional subsets. 5. **What statistical test was used for enrichment analysis?** - They used hypergeometric tests to compare each functional subset against the background. Additionally, in-house scripts calculated heterogeneity χ² values. 6. **Was false discovery rate correction used to control the number of false positives in the pathway enrichment analysis?** - Yes, they applied the Benjamini-Hochberg False Discovery Rate (FDR) with an alpha of 0.01 and a cut-off of 4.0 for significance. | Question | Answer | |-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------| | **1. What tool was used for pathway enrichment analysis?** | GSEA (Gene Set Enrichment Analysis) | | **2. Was a tool version number provided?** | Not described | | **3. What gene set library was queried (e.g., GO, KEGG, Reactome or other)?** | Not described; functional groups like apoptosis and transport were mentioned but not linked to standard databases. | | **4. Was a background gene list defined for pathway enrichment analysis?** | Yes, all coding genes (n=14,626) were used as the background. | | **5. What statistical test was used for enrichment analysis?** | Hypergeometric tests and in-house scripts calculating heterogeneity χ² values. | | **6. Was false discovery rate correction used to control the number of false positives in the pathway enrichment analysis?** | Yes, Benjamini-Hochberg FDR with alpha=0.01 was applied. |