利用非负独立成分分析发现复合基因模块

2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-07-13 DOI:10.1109/LSSA.2006.250434

Ting Gong, J. Xuan, Yitan Zhu, Huaizhou Li, R. Clarke, E. Hoffman, Y. Wang

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引用次数: 1

摘要

基因模块的发现可以为生物学调控和功能基因组学提供全面的分子图谱。我们提出了一种新的分析策略——非负独立成分分析来揭示某些基因模块的组合。结果表明，通过对潜在空间中的基因进行分组，我们可以发现簇内基因注释的富集程度在统计学上更为显著。此外，该方法已应用于肌萎缩症数据集的基因模块发现

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Composite Gene Module Discovery using Non-negative Independent Component Analysis

Gene module discovery can provide comprehensive molecular portrait of biological regulation and functional genomics. We present a new analytic strategy - nonnegative independent component analysis to reveal some gene module composite. The results show that by grouping genes in the latent space, we can find statistically more significant enrichment of gene annotations within clusters. Further, this approach has been applied to a muscular dystrophy data set for gene module discovery

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2006 IEEE/NLM Life Science Systems and Applications Workshop

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