中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Post-processing strategies for improving local gene expression pattern analysis
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Post-processing strategies for improving local gene expression pattern analysis
Wang Qiang; Ye Yunming; Huang Joshua Zhexue; Feng Shengzhong
2013
Source PublicationInternational journal of data mining and bioinformatics
Subtype期刊论文
AbstractThis paper proposes a new analytical process highlighted by a soft subspace clustering method, a changing window technique, and a series of post-processing strategies to enhance the identification and characterisation of local gene expression patterns. The proposed method can be conducted in an interactive way, facilitating the exploration and analysis of local gene expression patterns in real applications. Experimental results have shown that the proposed method is effective in identification and characterization of functional gene groups in terms of both local expression similarities and biological coherence of genes in a cluster.
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Indexed BySCI
Language英语
Department高性能计算技术研究中心
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/5034
Collection数字所
AffiliationInternational journal of data mining and bioinformatics
Recommended Citation
GB/T 7714
Wang Qiang,Ye Yunming,Huang Joshua Zhexue,et al. Post-processing strategies for improving local gene expression pattern analysis[J]. International journal of data mining and bioinformatics,2013.
APA Wang Qiang,Ye Yunming,Huang Joshua Zhexue,&Feng Shengzhong.(2013).Post-processing strategies for improving local gene expression pattern analysis.International journal of data mining and bioinformatics.
MLA Wang Qiang,et al."Post-processing strategies for improving local gene expression pattern analysis".International journal of data mining and bioinformatics (2013).
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