New Tools for Gene Coexpression Analysis
Author Information
Author(s): Jeff Skinner, Yuri Kotliarov, Sudhir Varma, Karina L Mine, Anatoly Yambartsev, Richard Simon, Yentram Huyen, Andrey Morgun
Primary Institution: National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH)
Hypothesis
Can DAPfinder and DAPview effectively identify differences in gene-gene coexpression between two phenotypes?
Conclusion
DAPfinder is a user-friendly tool for reconstructing and comparing biological networks.
Supporting Evidence
- DAPfinder and DAPview are designed to be user-friendly for researchers without programming skills.
- The tools can analyze gene expression data from various sources, including RNA-Seq.
- Simulations showed that DAPfinder can detect known differences in gene-gene associations with high statistical power.
Takeaway
The study introduces DAPfinder and DAPview, tools that help scientists see how genes work together in different conditions.
Methodology
The tools compute pair-wise gene-gene associations and compare them using statistical tests like Fisher's Z-test.
Limitations
The tools may not account for all complex relationships among genes.
Statistical Information
P-Value
p < 0.10
Statistical Significance
p<0.10
Digital Object Identifier (DOI)
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