coFunctionNet aims to identify a collection of functional related gene entities that collectively involve in multiple related phenotypes (melanoma-nevrisk / asthma-rheumatoid arthritis for example). The input data for coFunctionNet is a weighted gene-gene connectome specific for each phenotype. The connectome integrates information of (1) gene-gene connection infomraion reveling gene functional relatedness. Typical gene-gene connection can resulted from protein-protein interaction, gene co-expression, regulation, or co-appearance in literature; (2) gene-phenotpe association signal quantifying the association evidence of a gene with the disease. This information can be obtained through Genome-wide association study or large scale gene-based analysis....
- Author: Yuanlong LIU
- Affiliation: French National Institute of Health and Medical Research, Unit 946, Paris, France
- Mail: yuanlong.liu@inserm.fr