首页 / 院系成果 / 成果详情页

The classification of multiclass tumor gene expression data based on two-layer particle swarm optimization 期刊论文

编号：

688aa5c4-f0fe-47f0-8af6-c8b0bf8e73c6
作者：

Liu, Yajie (1, 2) Shi, Xinling ^[1] Gou, Changxin ^[1] Li, Baolei ^[1] Gao, Lian ^[1]
语种：

英文
期刊：

BioTechnology: An Indian Journal ISSN：0974-7435 2013 年 8 卷 11 期 (1483 - 1489) ; 2013
收录：
摘要：

The classification of gene expression data to determine different type of tumor samples is significantly important to research tumors in molecular biology level formaking further treatment plan of the patient. Particle swarm optimization (PSO) has employed as a solution for classification and clustering in bioinformatics. In this study, a classifier based on the two layer particle swarm optimization (TLPSO) algorithm is established to classify the uncertain training sample sets obtained from gene expression data of breast, prostate, lung and colon tumor samples. Compared with PSO and K-means algorithm in validation, the classification stability and accuracy based on the proposed TLPSO algorithmis improved significantly, which may provide more information to clinicians for choosing more appropriate treatment. 漏 2013 Trade Science Inc. - INDIA.
推荐引用方式
GB/T 7714：

Liu Yajie (1 2),Shi Xinling (1),Gou Changxin (1), et al. The classification of multiclass tumor gene expression data based on two-layer particle swarm optimization [J].BioTechnology: An Indian Journal,2013,8(11):1483-1489.
APA：

Liu Yajie (1 2),Shi Xinling (1),Gou Changxin (1),Li Baolei (1),&Gao Lian (1).(2013).The classification of multiclass tumor gene expression data based on two-layer particle swarm optimization .BioTechnology: An Indian Journal,8(11):1483-1489.
MLA：

Liu Yajie (1 2), et al. "The classification of multiclass tumor gene expression data based on two-layer particle swarm optimization" .BioTechnology: An Indian Journal 8,11(2013):1483-1489.

浏览次数：91  下载次数：0

分享到：

浏览次数：91

下载次数：0

打印次数：0