GOrilla: A Tool for GO Term Discovery and Visualization
Author Information
Author(s): Eden Eran, Navon Roy, Steinfeld Israel, Lipson Doron, Yakhini Zohar
Primary Institution: Weizmann Institute of Science
Hypothesis
Can GOrilla effectively identify enriched GO terms in ranked gene lists without requiring explicit target and background sets?
Conclusion
GOrilla is an efficient tool for GO analysis that offers unique features, including rigorous statistics and fast running time.
Supporting Evidence
- GOrilla can analyze thousands of genes and GO terms in seconds.
- It provides a clear visualization of enriched GO terms in a hierarchical structure.
- The tool is publicly available and user-friendly.
Takeaway
GOrilla helps scientists find important gene information quickly by looking at lists of genes ranked by how much they matter, without needing to set complicated rules.
Methodology
GOrilla uses a statistical model called mHG to analyze ranked gene lists and compute exact p-values for enriched GO terms.
Potential Biases
Potential biases may arise from gene duplication in input lists.
Limitations
The tool may not perform as well with datasets that do not have a clear ranking of genes.
Participant Demographics
77 breast cancer patients with varying prognostic characteristics.
Statistical Information
P-Value
p < 10-12
Statistical Significance
p < 10-12
Digital Object Identifier (DOI)
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