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Method for evaluating the quality of comparisons between experimental and theoretical mass data

机译:评价实验数据与理论质量数据比较质量的方法

摘要

A method for determining the probability that a biological molecule identification is incorrect for a chosen significance level is provided. The method includes comparing experimental mass data of an unknown biological molecule with theoretical mass data and calculating a score for each comparison; selecting at least two scores from the scores to form a primary data set; generating artificial data sets from the primary data set; calculating a sample mean for each artificial data set; estimating population mean and population standard deviation from the sample means wherein the population is based on the distribution underlying the primary dataset; computing a Z score from the population mean and population standard deviation for each score to standardize the scores; choosing a significance level; and comparing a test Z score to a Z score of the chosen significance level to determine the probability that the biological molecule identification is incorrect.
机译:提供了一种用于确定针对所选显着性水平的生物分子识别不正确的概率的方法。该方法包括将未知生物分子的实验质量数据与理论质量数据进行比较,并为每次比较计算得分;从分数中选择至少两个分数以形成主要数据集;从主要数据集生成人工数据集;计算每个人工数据集的样本均值;从样本均值估计总体均值和总体标准差,其中总体基于主要数据集的分布;根据总体平均数和总体标准偏差为每个分数计算Z分数,以使分数标准化;选择显着性水平;将测试的Z分数与所选显着性水平的Z分数进行比较,以确定生物分子识别不正确的可能性。

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