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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >LINEAR INDEPENDENCE OF PAIRWISE COMPARISONS OF DNA MICROARRAY DATA
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LINEAR INDEPENDENCE OF PAIRWISE COMPARISONS OF DNA MICROARRAY DATA

机译：DNA微阵列数据的配对比较的线性独立性

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Motivation: For DNA microarrays, the gain in certainty by performing multiple experimental repeats is offset by the high cost of each experiment. In a typical experiment, two independent measurements (that is, data from two separate arrays) are combined to yield a single comparative index per gene. Thus, although one uses 2n arrays and performs 2n independent measurements, one obtains only n comparative measurements. We addressed the question: how many of the potential n~2 comparisons derivable from such data are actually independent, and what effect do these additional comparisons have on the false positive rate. Results: We show there are precisely 2n-1 independent comparisons available from among the n~2 possibilities. Applying these additional n - 1 independent comparisons to experimental and simulated data reduced the false positive rate by as much as 10-fold, with excellent agreement between experimental and theoretical false positive rates.
机译：动机：对于DNA微阵列，通过执行多次实验重复而获得的确定性被每次实验的高成本所抵消。在一个典型的实验中，将两个独立的测量值（即来自两个单独阵列的数据）组合在一起，以产生每个基因一个单一的比较指数。因此，尽管一个人使用2n个数组并执行2n个独立的测量，但一个人只能获得n个比较测量。我们解决了一个问题：从这些数据中得出的潜在n〜2个比较中有多少实际上是独立的，这些额外的比较对误报率有什么影响。结果：我们显示n〜2种可能性中有2n-1种独立的比较可用。将这些额外的n-1独立比较应用于实验和模拟数据，可使假阳性率降低多达10倍，并且实验假阳性率和理论假阳性率之间具有极好的一致性。

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