DocumentCode
2470302
Title
Multi-criteria evaluation model reveals SMC4L1 gene maybe a breast cancer susceptibility gene
Author
Xu, Chao ; Jiang, Yan
Author_Institution
Dept. of Syst. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear
2009
fDate
16-19 Oct. 2009
Firstpage
1
Lastpage
3
Abstract
There are some known breast cancer oncogenes, and many genes have various relations with them. More susceptibility genes remain to be identified from these numerous relations. Based on the analysis of some literature, a multi-criteria evaluation model for breast cancer susceptibility gene has been constructed by reference. According to this model, we get the ranking evaluation result of alternatives. The Pub Med literature search shows CDC2 gene ranked first is researched frequently. Besides TopBPl gene ranked second and HMMR gene ranked 6th are identified as susceptibility genes for breast cancer by references. This shows the multi-criteria evaluation model can correctly represent the relation between genes and being susceptibility genes for breast cancer. Then we focus on SMC4L1 gene ranked third. By analysis, SMC4L1 is potential to be a susceptibility gene for breast cancer. It´s worth while to research SMC4L1 further.
Keywords
cancer; decision making; operations research; breast cancer oncogenes; breast cancer susceptibility gene; multi-criteria evaluation model; Breast cancer; Chaos; Diseases; Hidden Markov models; Humans; Lungs; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3866-2
Electronic_ISBN
978-1-4244-3867-9
Type
conf
DOI
10.1109/BICTA.2009.5338134
Filename
5338134
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