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Prediction of Human Disease Genes Based on Associations between Phenome and Proteins

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs
StatePublished - 2009
Event2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Disease gene
  • Disease phenotypic overlap
  • Protein-protein interactions

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