GeneChaser: A Tool for Analyzing Gene Expression Data
Author Information
Author(s): Chen Rong, Mallelwar Rohan, Thosar Ajit, Venkatasubrahmanyam Shivkumar, Butte Atul J
Primary Institution: Stanford University School of Medicine
Hypothesis
Can an automated tool help biologists and clinicians identify conditions where genes are differentially expressed?
Conclusion
GeneChaser is an effective tool for analyzing gene expression data and identifying biological and clinical conditions related to gene expression.
Supporting Evidence
- GeneChaser analyzed 1,515 GEO data sets from 231 microarray types across 42 species.
- It performed 12,658 group versus group comparisons.
- The tool confirmed the roles of key genes in embryonic stem cell development.
- It identified drugs that regulate gene expression.
Takeaway
GeneChaser helps scientists find out how genes behave in different situations without needing special computer skills.
Methodology
GeneChaser analyzes GEO data sets, performs group comparisons, and visualizes results with statistical comparisons.
Limitations
The tool relies on existing data from GEO and may not cover all experimental conditions.
Statistical Information
P-Value
0.006
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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