Title :
Evaluation Model for Breast Cancer Susceptibly Gene and its Implementation Using Cytoscape
Author :
Jiang, Yan ; Xu, Chao
Author_Institution :
Dept. of Syst. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
Based on the analysis of some literature, this paper proposes a multi-criteria evaluation model for breast cancer susceptibility gene and implements the evaluation using Cytoscape. Most of the data come from the online supplementary table of the literature, and a little missing is completed by the BiNGO plugin of Cytoscape. The Pub Med literature search shows CDC2 gene ranked first in our final evaluation list showed by Cytoscape has a close relation with breast cancer genes. Meanwhile TopBPl gene ranked second and HMMR gene ranked sixth are proposed as breast cancer susceptibility genes by previous research. This shows our multi-criteria evaluation model can represent the complex relationship between genes and breast cancer susceptibly correctly. So other genes in the evaluation result should also be focused on. Besides, the practical application indicates that Cytoscape is a powerful biological analytical tool.
Keywords :
bioinformatics; cancer; genetics; BiNGO plugin; CDC2 gene; Cytoscape; HMMR gene; Pub Med literature search; TopBPl gene; breast cancer susceptibly gene; multicriteria evaluation model; online supplementary table; Biological materials; Biological system modeling; Breast cancer; Breast neoplasms; Chaos; Diseases; Genetics; Hidden Markov models; Humans; Systems engineering and theory;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5305530