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Probabilistic bounds for estimates of genome DNA copy number variations using HR-CGH microarray

机译:使用HR-CGH微阵列估算基因组DNA拷贝数变异的概率界限

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Estimation of the genome copy number variations (CNVs) measured using the high-resolution array-comparative genomic hybridization (HR-CGH) microarray is provided in the presence of large measurement white Gaussian noise having typically different segmental variances. Jitter inherent to the breakpoints of such signals can be approximated with the discrete skew Laplace distribution. Referring to and aimed at sketching a more clear picture about possible chromosomal changes, we have justified the estimate UB and LB probabilistic masks in the three-sigma sense to guarantee an existence of true changes with the probability of 99.73%. Some real measurements are tested by these mask and practical conclusions are provided.
机译:在存在通常具有不同分段差异的大测量白高斯噪声的情况下,提供了使用高分辨率阵列比较基因组杂交(HR-CGH)微阵列测量的基因组拷贝数变异(CNV)的估算。此类信号的断点所固有的抖动可通过离散偏斜拉普拉斯分布来近似。参考并旨在勾勒出关于可能的染色体变化的更清晰图片,我们证明了三西格玛意义上的估计UB和LB概率掩码的合理性,以保证存在真实变化的概率为99.73%。这些掩模测试了一些实际测量值,并提供了实用的结论。

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