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Internal standard-based analysis of microarray data2-Analysis of functional associations between HVE-genes

机译:基于内部标准的微阵列数据分析2-HVE基因之间的功能关联分析

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In this work we apply the Internal Standard-based analytical approach that we described in an earlier communication and here we demonstrate experimental results on functional associations among the hypervariably-expressed genes (HVE-genes). Our working assumption was that those genetic components, which initiate the disease, involve HVE-genes for which the level of expression is un-distinguishable among healthy individuals and individuals with pathology. We show that analysis of the functional associations of the HVE-genes is indeed suitable to revealing disease-specific differences. We show also that another possible exploit of HVE-genes for characterization of pathological alterations is by using multivariate classification methods. This in turn offers important clues on naturally occurring dynamic processes in the organism and is further used for dynamic discrimination of groups of compared samples. We conclude that our approach can uncover principally new collective differences that cannot be discerned by individual gene analysis.
机译:在这项工作中,我们应用了我们在先前的通讯中描述的基于内部标准的分析方法,在这里我们展示了关于高变表达基因(HVE基因)之间功能关联的实验结果。我们的工作假设是,引发该疾病的那些遗传成分涉及HVE基因,在健康个体和病理个体之间其表达水平无法区分。我们显示,对HVE基因功能关联的分析确实适合揭示疾病特异性差异。我们还表明,利用HVE基因表征病理变化的另一种可能方法是使用多元分类方法。反过来,这提供了有关生物中自然发生的动态过程的重要线索,并进一步用于动态区分比较样品组。我们得出的结论是,我们的方法主要可以揭示个体基因分析无法识别的新的集体差异。

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