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Process for estimating random error in chemical and biological assays when random error differs across assays

机译:当随机误差在各个测定中不同时,估算化学和生物学测定中随机误差的过程

摘要

An analytical process is disclosed, for discriminating data acquired from samples with overlapping distributions, and for improving and assessing the statistical validity of hybridization signal in arrays of assays. The process includes method of convolving data into two or more discrete probability density functions representing signal and nonsignal, discrete fluors, or other convolved independent variables. The system uses the probability density functions to assign hybridization signals, objectively, to one of the modeled distributions. Subsequent processes assess variability inherent to the arrays, and use this assessed variation to establish reliability scores and confidence limits for complete hybridization arrays, and for discrete hybridization assays within arrays.
机译:公开了一种分析过程,用于区分从具有重叠分布的样品中获取的数据,并且用于改善和评估测定阵列中杂交信号的统计有效性。该过程包括将数据卷积为代表信号和非信号,离散荧光或其他卷积自变量的两个或多个离散概率密度函数的方法。该系统使用概率密度函数将杂交信号客观地分配给建模的分布之一。随后的过程评估阵列固有的变异性,并使用此评估的变异性建立完整杂交阵列以及阵列内离散杂交测定的可靠性评分和置信度极限。

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