基因表达谱的“病理学”,是定义、评估和分类遗传疾病的新工具。

A D Iacobaş, S Iacobaş, D C Spray
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引用次数: 0

摘要

本文介绍了基于基因谱正常变异的标准基因表达(SSGE)的pre-Hilbert空间,这是由“斑点”微阵列技术揭示的。在这个空间中,每个点代表一个可能的基因轮廓,每个连续曲线代表一个可能的基因进化。基因“病理”被定义为基因剖面的代表点与单位(0中心超球)之间的欧氏距离。它是数字基因表达改变的最通用的量化,适用于遗传病的定义、评价和分类。我们的数学模型和传入计算机包使研究人员能够识别出SSGE中各种遗传疾病的模式。将开放一个公开的数据库,每个感兴趣的实验人员都可以介绍他/她的结果,并根据我们的程序进行处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The "patholog" of the genes expression profile, a new tool in defining, evaluating, and classifying genetic diseases.

The paper introduces the pre-Hilbert space of standard gene expression (SSGE) based on the normal variability in gene profiles, as revealed by the "spotting" microarray technique. In this space, every point represents a possible gene profile and every continuous curve a possible genetic evolution. The gene "patholog" is defined as the Euclidean distance separating the representative point of the gene profile from the unit, 0-centered hyperball. It is the most general quantification of the alteration in digital genes expression, suitable to define, evaluate, and classify the genetic diseases. Our mathematical model and the afferent computer package allow the researcher to identify the patterns of various genetic afflictions in the SSGE. A publicly available database will be opened where every interested experimentalist could introduce his/her results and process them according to our procedure.

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