Gene Systems Network Inferred from Expression Profiles in Hepatocellular Carcinogenesis by Graphical Gaussian Model
2007
Gene Systems Network in Liver Cancer
publication
Evidence: moderate
Author Information
Author(s): Aburatani Sachiyo, Sun Fuyan, Saito Shigeru, Honda Masao, Kaneko Shu-ichi, Horimoto Katsuhisa
Primary Institution: National Institute of Advanced Industrial Science and Technology (AIST)
Hypothesis
What are the associations between gene groups in hepatocellular carcinogenesis?
Conclusion
The study provides insights into the gene interactions involved in liver cancer and their relation to metabolic pathways.
Supporting Evidence
- The inferred network was strongly involved in known gene-gene interactions.
- Clusters characterized by different cancer-related responses were associated with metabolic pathways.
- The study provides possible clues on the disease mechanism.
Takeaway
Scientists looked at how genes work together in liver cancer to understand the disease better.
Methodology
The study used a graphical Gaussian model to analyze gene expression profiles.
Limitations
Some relationships in the network remain to be interpreted.
Statistical Information
Statistical Significance
high significance
Digital Object Identifier (DOI)
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