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2. 发明授权

US06502039B1 Mathematical analysis for the estimation of changes in the level of gene expression 失效
标题翻译：估计基因表达水平变化的数学分析
公开(公告)号：US06502039B1
公开(公告)日：2002-12-31
申请号：US09577634
申请日：2000-05-24
申请人： Joachim Theilhaber , Steven Bushnell , Rainer Fuchs
发明人： Joachim Theilhaber , Steven Bushnell , Rainer Fuchs
IPC分类号： G01N3348
CPC分类号： G06F19/20
摘要： The present invention relates to a highly accurate and reproducible mathematically-based methodology for quantifying the levels of differential gene expression from microassay protocols. Specifically, the present invention provides a simple deductive approach, grounded in a Bayesian framework, to circumvent the heuristic-based limitation of previous methodologies. Rather than seeking a point-estimate of the fold-change of the level of gene expression, the present invention utilizes the derivation of mathematical formula to determine the a posteriori distribution of all the fold-changes of differential gene expression which may be inferred from the given measurements. From this a posteriori distribution the following information may be obtained: (i) an estimator for the fold-change of the level of gene expression; (ii) confidence limits for the fold-change, at any given confidence level; and (iii) a P-value for assessing the statistical significance of change. The present invention also possesses the advantage that fold-change estimates and confidence limits may even be assigned to signal pairs where both signals are zero or negative, without resorting to heuristic thresholds.
摘要翻译：本发明涉及用于量化来自微量分析方案的差异基因表达水平的基于数学的高精度和可重复的方法。具体来说，本发明提供了一种基于贝叶斯框架的简单演绎方法，以规避以前方法的基于启发式的限制。本发明不是寻求基因表达水平的倍数变化的点估计，而是利用数学公式的推导来确定差异基因表达的所有折叠变化的后验分布，其可以从给定测量。从这个后验分布可以获得以下信息：（i）基因表达水平的倍数变化的估计量; （ii）在任何给定的置信水平下，折叠的置信限; 和（iii）用于评估变化统计显着性的P值。本发明还具有以下优点：即使两个信号都为零或负的信号对，甚至可以将折叠估计和置信限度分配给信号对，而不采用启发式阈值。

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