Enrichment in phenotype: AHRR-overexpressed (3 samples)
- 531 / 968 gene sets are upregulated in phenotype AHRR-overexpressed
- 0 gene sets are significant at FDR < 25%
- 283 gene sets are significantly enriched at nominal pvalue < 1%
- 283 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: Control (1 samples)
- 437 / 968 gene sets are upregulated in phenotype Control
- 0 gene sets are significantly enriched at FDR < 25%
- 347 gene sets are significantly enriched at nominal pvalue < 1%
- 347 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 17842 features (genes)
- No probe set => gene symbol collapsing was requested, so all 17842 features were used
Gene set details
- Gene set size filters (min=15, max=500) resulted in filtering out 361 / 1329 gene sets
- The remaining 968 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 AHRR-overexpressed versus Control comparison
- The dataset has 17842 features (genes)
- # of markers for phenotype AHRR-overexpressed: 8580 (48.1% ) with correlation area 0.0%
- # of markers for phenotype Control: 9262 (51.9% ) with correlation area 0.0%
- Detailed rank ordered gene list for all features in the dataset
- Heat map and gene list correlation profile for all features in the dataset
- Buttefly plot of significant genes
Global statistics and plots
Comments
- Warning: Phenotype permutation was performed but the number of samples in class A is < 7, phenotype: class_1.cls#AHRR-overexpressed_versus_Control
- Warning: Phenotype permutation was performed but the number of samples in class B is < 7, phenotype: class_1.cls#AHRR-overexpressed_versus_Control
- With small datasets, there might not be enough random permutations of sample labels to generate a sufficient null distribution. In such cases, gene_set randomization might be a better choice.
