GSEA Report for Dataset Chronic fatigue syndrome__20002-both_sexes-1482

Enrichment in phenotype: na

• 32 / 33 gene sets are upregulated in phenotype na_pos
• 5 gene sets are significant at FDR < 25%
• 4 gene sets are significantly enriched at nominal pvalue < 1%
• 6 gene sets are significantly enriched at nominal pvalue < 5%
• Snapshot of enrichment results
• Detailed enrichment results in html format
• Detailed enrichment results in TSV format (tab delimited text)
• Guide to interpret results

Enrichment in phenotype: na

• 1 / 33 gene sets are upregulated in phenotype na_neg
• 1 gene sets are significantly enriched at FDR < 25%
• 1 gene sets are significantly enriched at nominal pvalue < 1%
• 1 gene sets are significantly enriched at nominal pvalue < 5%
• Snapshot of enrichment results
• Detailed enrichment results in html format
• Detailed enrichment results in TSV format (tab delimited text)
• Guide to interpret results

Dataset details

• The dataset has 18004 features (genes)
• No probe set => gene symbol collapsing was requested, so all 18004 features were used

Gene set details

• Gene set size filters (min=15, max=500) resulted in filtering out 19 / 52 gene sets
• The remaining 33 gene sets were used in the analysis
• List of gene sets used and their sizes (restricted to features in the specified dataset)

Gene markers for the na_pos versus na_neg comparison

• The dataset has 18004 features (genes)
• Detailed rank ordered gene list for all features in the dataset

Global statistics and plots

• Plot of p-values vs. NES
• Global ES histogram

Other

• Parameters used for this analysis

Comments

• Timestamp used as the random seed: 1748029758312

Warnings

• There were duplicate row identifiers in the specified ranked list. One id was arbitarilly choosen. Details are below.
  Generally this is OK but if you want to avoid this, edit your ranked list so that all row ids are unique
  
  # of row ids in original dataset: 18006
  # of row UNIQUE ids in original dataset: 18004
  The duplicates were
  

  HSPA14	PINX1	

Citing GSEA and MSigDB

To cite your use of the GSEA software please reference the following:

• Subramanian, A., Tamayo, P., et al. (2005, PNAS).
• Mootha, V. K., Lindgren, C. M., et al. (2003, Nature Genetics).

For use of the Molecular Signatures Database (MSigDB), to cite please reference
one or more of the following as appropriate, along with the source for the gene set as listed on the gene set page:

• Liberzon A, et al. (Bioinformatics, 2011).
• Liberzon A, et al. (Cell Systems 2015).
• If you use Mouse MSigDB, please also cite Castanza A, et al. (Nature Methods 2023).