Enrichment in phenotype: na
- 7 / 8 gene sets are upregulated in phenotype na_pos
- 0 gene sets are significant at FDR < 25%
- 0 gene sets are significantly enriched at nominal pvalue < 1%
- 0 gene sets are significantly enriched at nominal pvalue < 5%
- Snapshot of enrichment results
- Detailed enrichment results in html format
- Detailed enrichment results in excel format (tab delimited text)
- Guide to interpret results
Enrichment in phenotype: na
- 1 / 8 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 excel format (tab delimited text)
- Guide to interpret results
Dataset details
- The dataset has 12 features (genes)
- No probe set => gene symbol collapsing was requested, so all 12 features were used
Gene set details
- Gene set size filters (min=1, max=500) resulted in filtering out 42 / 50 gene sets
- The remaining 8 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
Global statistics and plots
Comments
- 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 automagic, edit your ranked list so that all row ids are unique
# of row ids in original dataset: 16
# of row UNIQUE ids in original dataset: 12
# The duplicates were
DCHS1
DCHS1
HSPB1
RALY