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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >A method for detecting significant genomic regions associated with oral squamous cell carcinoma using aCGH.
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A method for detecting significant genomic regions associated with oral squamous cell carcinoma using aCGH.

机译:一种使用aCGH检测与口腔鳞状细胞癌相关的重要基因组区域的方法。

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摘要

Array comparative genomic hybridization (aCGH) provides a genome-wide technique for identifying chromosomal aberrations in human diseases, including cancer. Chromosomal aberrations in cancers are defined as regions that contain an increased or decreased DNA copy number, relative to normal samples. The identification of genomic regions associated with systematic aberrations provides insights into initiation and progression of cancer, and improves diagnosis, prognosis, and therapy strategies. The McNemar test can be used to detect differentially expressed genes after discretization of gene expressions in a microarray experiment for the matched dataset. In this study, we propose a method to detect significantly altered DNA regions, shifted McNemar test, which is based on the standard McNemar test and takes into account changes in copy number variations and the region size throughout the whole genome. In addition, this novel method can be used to detect genomic regions associated with the progress of oral squamous cell carcinoma (OSCC). The performance of the proposed method was evaluated based on the homogeneity within the selected regions and the classification accuracies of the selected regions. This method might be useful for identifying new candidate genes that neighbor known genes based on the whole-genomic variation because it detects significant chromosomal regions, not independent probes.
机译:阵列比较基因组杂交(aCGH)提供了一种全基因组技术,可用于鉴定人类疾病(包括癌症)中的染色体畸变。癌症中的染色体畸变定义为相对于正常样品,DNA拷贝数增加或减少的区域。与系统性畸变相关的基因组区域的鉴定可洞悉癌症的发生和发展,并改善诊断,预后和治疗策略。在匹配的数据集的微阵列实验中,基因表达离散后,可以使用McNemar测试来检测差异表达的基因。在这项研究中,我们提出了一种检测明显改变的DNA区域的方法,即基于标准McNemar测试的移位McNemar测试,该方法考虑了拷贝数变异和整个基因组区域大小的变化。此外,这种新方法可用于检测与口腔鳞状细胞癌(OSCC)进展相关的基因组区域。基于所选区域内的均匀性和所选区域的分类准确性,评估了所提出方法的性能。该方法可能对基于整个基因组变异识别与已知基因相邻的新候选基因很有用,因为它可以检测到重要的染色体区域,而不是独立的探针。

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