Okay, let's tackle this step by step. The user wants me to figure out how the pathway enrichment analysis was conducted in the provided article. They have six specific questions, and I need to answer each one based on the information given in the article. First, I'll start by looking at the Methods section since that's where such details are usually found. The article mentions under Materials and Methods that functional annotation analysis was performed using DAVID based on Gene Ontology and KEGG pathway databases. So, the tool used here is DAVID. The version isn't specified, so that might be a "not described" point. Next, the gene set libraries are clearly stated as GO (Gene Ontology) and KEGG. The background database is mentioned as KEGG Pathways, so the background gene list is probably the KEGG pathways. The article doesn't explicitly mention the statistical test used in DAVID. DAVID typically uses Fisher's exact test or similar, but since it's not stated, maybe it's not described here. Regarding false discovery rate (FDR) correction, DAVID usually applies Benjamini-Hochberg by default, but again, the article doesn't specify this. The results only mention p-values from Chi-square tests for distribution analysis, but that's for the genomic element regions, not the pathway enrichment. Wait, looking back, the pathway analysis part doesn't mention FDR. The only mention of statistical tests in the results is the Chi-square for the promoter/intron regions. So the pathway analysis part might not have mentioned FDR. So summarizing: 1. Tool: DAVID 2. Version: Not provided 3. Gene set libraries: GO and KEGG 4. Background gene list: KEGG Pathways (as per the Methods section saying "categories of KEGG Pathways served as background databases") 5. Statistical test: Not explicitly stated (maybe Fisher's exact, but since the user asks for what's in the article, it's not described here) 6. FDR correction: Not mentioned, so not described. I need to check again for any missed details. The Results section says pathway analysis results but doesn't add more. The Methods only mention DAVID with GO and KEGG. So the answers are as above. 1. **What tool was used for pathway enrichment analysis?** DAVID (Database for Annotation, Visualization, and Integrated Discovery) was used for pathway enrichment analysis. 2. **Was a tool version number provided?** No, the version number of DAVID was not specified in the article. 3. **What gene set library was queried (e.g., GO, KEGG, Reactome, or other)?** The analysis used both Gene Ontology (GO) and KEGG pathway databases. 4. **Was a background gene list defined for pathway enrichment analysis?** Yes, the "categories of KEGG Pathways" were explicitly mentioned as the background databases for the analysis. 5. **What statistical test was used for enrichment analysis?** The article does not explicitly describe the statistical test used within DAVID for pathway enrichment. However, DAVID typically employs Fisher’s exact test or similar methods, but this detail was not provided in the text. 6. **Was false discovery rate (FDR) correction used to control the number of false positives in the pathway enrichment analysis?** The article does not mention the use of FDR correction (e.g., Benjamini-Hochberg) for multiple testing. Only p-values (e.g., from Chi-squared tests for genomic element distribution) were reported, but no details on FDR correction for pathway analysis were provided. --- ### Summary Table: | Question | Answer | |--------------------------------------------------------------------------|-------------------------------------------------------------------------| | 1. Tool for pathway enrichment analysis | DAVID | | 2. Tool version number provided | Not described | | 3. Gene set library queried | Gene Ontology (GO) and KEGG pathway databases | | 4. Background gene list defined | KEGG Pathways categories served as the background database | | 5. Statistical test used | Not explicitly described (e.g., Fisher’s exact test assumed but not stated) | | 6. False discovery rate (FDR) correction used | Not described |