FatiScan: A Tool for Functional Analysis of Genes
Author Information
Author(s): Fátima Al-Shahrour, Leonardo Arbiza, Hernán Dopazo, Jaime Huerta-Cepas, Pablo Mínguez, David Montaner, Joaquín Dopazo
Primary Institution: Centro de Investigación Príncipe Felipe (CIPF)
Hypothesis
Can functional classes of genes be identified through a threshold-independent method?
Conclusion
FatiScan provides a promising alternative for functional profiling of genome-scale experiments by analyzing blocks of functionally related genes.
Supporting Evidence
- FatiScan can analyze various types of genome-scale data.
- The tool does not require pre-selection of genes based on individual tests.
- FatiScan has been applied successfully to microarray gene expression and other datasets.
Takeaway
FatiScan is a tool that helps scientists understand how groups of genes work together, instead of just looking at one gene at a time.
Methodology
FatiScan uses a segmentation test to analyze the distribution of functional classes across ranked lists of genes.
Limitations
The method's effectiveness may vary depending on the nature of the data and the biological context.
Statistical Information
P-Value
1.3 × 10^-5
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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