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Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data

机译：基于强关联规则的大规模基因表达数据分析：以人类SAGE数据为例

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摘要

The association-rules discovery (ARD) technique has yet to be applied to gene-expression data analysis. To validate the technique it was applied to freely available human serial analysis of gene expression (SAGE) data. ARD is shown to be complementary to existing gene-expression clustering techniques.

机译：关联规则发现（ARD）技术尚未应用于基因表达数据分析。为了验证该技术，将其应用于可免费获得的人类基因表达系列分析（SAGE）数据。 ARD被证明是对现有基因表达聚类技术的补充。

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Becquet Céline; Blachon Sylvain; Jeudy Baptiste; Boulicaut Jean-Francois; Gandrillon Olivier;
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年度 2002
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原文格式 PDF
正文语种 {"code":"en","name":"English","id":9}
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Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data

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