Annotation concept synthesis and enrichment analysis: A logic-based approach to the interpretation of high-throughput experiments

Mikhail Jiline; Stan Matwin; Marcel Turcotte

doi:10.1093/bioinformatics/btr337

Annotation concept synthesis and enrichment analysis: A logic-based approach to the interpretation of high-throughput experiments

Mikhail Jiline, Stan Matwin, Marcel Turcotte

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
文章编号	btr337
页（从-至）	2391-2398
页数	8
期刊	Bioinformatics
卷	27
期	17
DOI	https://doi.org/10.1093/bioinformatics/btr337
出版状态	已出版 - 9月 2011
已对外发布	是

!!!ASJC Scopus Subject Areas

统计与概率
生物化学
分子生物学
计算机科学应用
计算理论与数学
计算数学

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10.1093/bioinformatics/btr337

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Annotation concept synthesis and enrichment analysis: A logic-based approach to the interpretation of high-throughput experiments

!!!ASJC Scopus Subject Areas

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