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首页> 外文会议>Pacific Symposium on Biocomputing 2001, Jan 3-7, 2001, Mauna Lani, Hawaii >ON REPORTING FOLD DIFFERENCES
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ON REPORTING FOLD DIFFERENCES

机译：关于报告折价差异

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摘要

As we enter an age in which genomics and bioinformatics make possible the discovery of new knowledge about the biological characteristics of an organism, it is critical that we attempt to report newly discovered "significant" phenotypes only when they are actually of significance. With the relative youth of genome-scale gene expression technologies, how to make such distinctions has yet to be better defined. We present a "mask technology" by which to filter out those levels of gene expression that fall within the noise of the experimental techniques being employed. Conversely, our technique can lend validation to significant fold differences in expression level even when the fold value may appear quite small (e.g. 1.3). Given array-organized expression level results from a pair of identical experiments, our ID Mask Tool enables the automated creation of a two-dimensional "region of insignificance" that can then be used with subsequent data analyses. Fundamentally, this should enable researchers to report on findings that are more likely to be in nature truly meaningful. Moreover, this can prevent major investments of time, energy, and biological resources into the pursuit of candidate genes that represent false positives.
机译：随着我们进入一个基因组学和生物信息学使人们有可能发现有关生物体生物学特征的新知识的时代，至关重要的是，我们仅在它们实际上具有重要意义时才尝试报告新发现的“重要”表型。随着基因组规模的基因表达技术的相对年轻，如何做出这样的区分还有待更好的定义。我们提出了一种“屏蔽技术”，通过该技术可以过滤掉落入所采用实验技术噪声范围内的那些基因表达水平。相反，即使倍数值看起来很小（例如1.3），我们的技术也可以使表达水平的倍数差异显着。给定数组的表达水平来自一对相同实验的结果，我们的ID Mask Tool可以自动创建二维“无关紧要区域”，然后可将其用于后续数据分析。从根本上讲，这应该使研究人员能够报告更可能具有实质意义的发现。而且，这可以防止时间，精力和生物资源的大量投资用于追求代表假阳性的候选基因。

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