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Classification of genes based on gene expression analysis

机译:基于基因表达分析的基因分类

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Systems biology and bioinformatics are now major fields for productive research. DNA microarrays and other array technologies and genome sequencing have advanced to the point that it is now possible to monitor gene expression on a genomic scale. Gene expression analysis is discussed and some important clustering techniques are considered. The patterns identified in the data suggest similarities in the gene behavior, which provides useful information for the gene functionalities. We discuss measures for investigating the homogeneity of gene expression data in order to optimize the clustering process. We contribute to the knowledge of functional roles and regulation of E. coli genes by proposing a classification of these genes based on consistently correlated genes in expression data and similarities of gene expression patterns. A new visualization tool for targeted projection pursuit and dimensionality reduction of gene expression data is demonstrated.
机译:系统生物学和生物信息学现在是生产研究的主要领域。 DNA微阵列和其他阵列技术以及基因组测序已经发展到现在可以在基因组规模上监控基因表达的地步。讨论了基因表达分析并考虑了一些重要的聚类技术。数据中鉴定的模式表明基因行为的相似性,这为基因功能提供了有用的信息。我们讨论了调查基因表达数据同质性的措施,以优化聚类过程。通过基于表达数据中始终相关的基因和基因表达模式的相似性提出这些基因的分类,我们为大肠杆菌基因的功能作用和调控的知识做出了贡献。演示了一种新的可视化工具,用于有针对性的投影追踪和基因表达数据的降维。

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