The multiple Myeloma prediction model based on the gene expression profile

被引：0
|
作者：
Jiang, Guotai [1 ]
Chen, Shuohao [1 ]
Xu, Xiaolei [1 ]
机构：
[1] Tongji Univ, Sch Life Sci & Technol, Shanghai, Peoples R China
来源：
PROGRESS ON POST-GENOME TECHNOLOGIES | 2007年
关键词：
gene microarray; multiple myeloma; artificial neural networks;
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
DNA Microarrys technology for Gene Expression Profile has become more and more important in genomics cancer research. This paper, based on the principle of Artifical Neural Network(ANN), analyzes the data of Multiple Myeloma gene expression profile and establishes a Back Propagation-Artifical Neural Network model. By using of 24 feature genes, closely related to the cancer, it sets up a three-layer BP-ANN. This model is able to self-learn and self-adapt. From the experiment we can concludes that it can get more accurate predict results, nearly 100%.
引用
收藏
页码：100 / 101
页数：2
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