#### Enrichment in phenotype: na

- 3924 / 6609 gene sets are upregulated in phenotype na_pos
- 889 gene sets are significant at FDR < 25%
- 472 gene sets are significantly enriched at nominal pvalue < 1%
- 944 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

- 2685 / 6609 gene sets are upregulated in phenotype na_neg
- 344 gene sets are significantly enriched at FDR < 25%
- 224 gene sets are significantly enriched at nominal pvalue < 1%
- 437 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 18030 features (genes)
- No probe set => gene symbol collapsing was requested, so all 18030 features were used

#### Gene set details

- Gene set size filters (min=15, max=500) resulted in filtering out 12526 / 19135 gene sets
- The remaining 6609 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 18030 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: 1778357075532

#### 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).