Abstract
Disease genes identification is the key to the issue of human genetic diseases cure. This paper describes a new method of human genetic disease gene prediction, which is based on the relations between clinical manifestations and protein-protein interaction network. A new prediction model which is based on associated probability and Pearson correlation coefficient is also described. This mathematical model reflects the regularity of associations between similarities of phenotypes and interactions of proteins. It can discribe the real biological systems better than traditional models, and gives a stronger predictive ability.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
| DOIs | |
| State | Published - 2009 |
| Event | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009 |
Publication series
| Name | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
|---|
Conference
| Conference | 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
|---|---|
| Country/Territory | China |
| City | Tianjin |
| Period | 17/10/09 → 19/10/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Disease gene
- Disease phenotypic overlap
- Protein-protein interactions
Fingerprint
Dive into the research topics of 'Prediction of Human Disease Genes Based on Associations between Phenome and Proteins'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver