DOSim: An R package for disease similarity
Author Information
Author(s): Li Jiang, Gong Binsheng, Chen Xi, Liu Tao, Wu Chao, Zhang Fan, Li Chunquan, Li Xiang, Rao Shaoqi, Li Xia
Primary Institution: College of Bioinformatics Science and Technology, Harbin Medical University
Hypothesis
Can the Disease Ontology be used to compute similarities between diseases and genes?
Conclusion
The DOSim package effectively detects disease-driven gene modules and enhances understanding of disease pathogenesis.
Supporting Evidence
- The DOSim package can compute similarities between 128 different cancer terms.
- It revealed significant disease correlations, including novel associations between hematologic cancer and spleen cancer.
- DOSim can visualize the Disease Ontology structure and detect gene modules.
Takeaway
This study created a tool called DOSim that helps scientists see how diseases are similar and how genes relate to those diseases.
Methodology
The study developed an R package that computes disease and gene similarities using the Disease Ontology and various semantic similarity measures.
Statistical Information
P-Value
0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website