Sample classification algorithm based on G-ICA

doi:10.3778/j.issn.1002-8331.2010.31.035

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (31): 124-126.DOI: 10.3778/j.issn.1002-8331.2010.31.035

• 数据库、信号与信息处理 • Previous Articles Next Articles

Sample classification algorithm based on G-ICA

LIU Yun-ru^1，2，CAI Li-jun²，YI Ye-qing^1，2

1.Department of Computer Science and Technology，Hunan Institute of Humanities Science and Technology，Loudi，Hunan 417000，China
2.College of Computer Science，Communication，Hunan University，Changsha 410082，China

Received:2010-02-26 Revised:2010-05-13 Online:2010-11-01 Published:2010-11-01
Contact: LIU Yun-ru

基于G-ICA的组织样本分类算法

刘云如^1，2，蔡立军²，易叶青^1，2

1.湖南人文科技学院计算机科学技术系，湖南娄底 417000
2.湖南大学计算机与通信学院，长沙 410082

通讯作者: 刘云如

Abstract

Abstract: It uses the ICA that includes the information for classification（G-ICA） to absorb the modes lie in the gene expression data，then classify the samples without label upon these modes.The experiment shows that it can improve the ability of sample classification，in addition，it has low complexity and strong stability，and can get the target fastly.

Key words: gene expression data, guide independent components analysis, sample classification

摘要： 利用加入了分类指导信息的ICA（Guide Independent components analysis，G-ICA），在已知样本中提取隐藏在样本基因表达数据中与组织分类密切相关的各种表达模式，根据这些模式对未知组织样本进行分类。试验结果表明，该方法提高了组织样本的分类能力，其计算复杂度低、收敛快，具有较强的稳定性。

关键词: 基因表达数据, 带指导信息的独立成分分析, 组织样本分类

CLC Number:

TP311

LIU Yun-ru^1，2，CAI Li-jun²，YI Ye-qing^1，2. Sample classification algorithm based on G-ICA[J]. Computer Engineering and Applications, 2010, 46(31): 124-126.

刘云如^1，2，蔡立军²，易叶青^1，2. 基于G-ICA的组织样本分类算法[J]. 计算机工程与应用, 2010, 46(31): 124-126.

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Sample classification algorithm based on G-ICA

基于G-ICA的组织样本分类算法

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