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Adaptive threshold for detecting differentially expressed genes in microarray data - a simulation study to investigate its performance

机译:用于检测微阵列数据中差异表达基因的自适应阈值-研究其性能的模拟研究

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To detect changes in gene expression data from DNA microarrays, a fixed threshold value is used in various studies. However, it is not always guaranteed that a threshold value which is appropriate for highly expressed genes is suitable for genes with low expression. To address this issue, we have proposed adaptive threshold, which has different values for different expression levels. In this study, the performance of the adaptive threshold method was investigated through simulations. The sensitivity in various noise conditions was in a range between 72.7 and 100% while the specificity was better than 99% for all noise conditions. These results demonstrated the good performance of the proposed method.
机译:为了检测来自DNA微阵列的基因表达数据的变化,在各种研究中使用了固定的阈值。然而,并不总是保证适合于高表达基因的阈值适合于低表达基因。为了解决这个问题,我们提出了自适应阈值,该阈值对于不同的表达水平具有不同的值。在这项研究中,通过仿真研究了自适应阈值方法的性能。在各种噪声条件下的灵敏度在72.7至100%的范围内,而在所有噪声条件下的特异性均优于99%。这些结果证明了所提出方法的良好性能。

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