Genet-CNV: Boolean Implication Networks for Modelling Genome-Wide Co-occurrence of DNA Copy Number Variations

Salvi Singh, N. Guo
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引用次数: 0

Abstract

Boolean implication networks (Genet) have been utilized to model gene co-expression networks in our previous research. In this study, they are constructed to model the co-occurrence of amplification/deletion events in DNA copy number variations (CNVs) at a genome-wide scale. The Boolean implication scheme extends the dichotomous nature of the variable under scrutiny such that it can have numerous discrete values corresponding to DNA CNVs, and pairwise co-occurrence of CNVs is computed. The implication network was implemented in a software package (Genet-CNV) and run on 271 patient samples afflicted with non-small cell lung cancer (NSCLC )[GSE31800].
基因- cnv:模拟DNA拷贝数变异全基因组共现的布尔隐含网络
在我们之前的研究中,布尔隐含网络(Genet)被用来模拟基因共表达网络。在这项研究中,它们被构建来模拟全基因组范围内DNA拷贝数变异(CNVs)中扩增/缺失事件的共同发生。布尔隐含方案扩展了被审查变量的二分类性质,使得它可以有许多与DNA cnv对应的离散值,并且计算了cnv的成对共现性。该暗示网络在一个软件包(gene - cnv)中实现,并在271例非小细胞肺癌(NSCLC)患者样本上运行[GSE31800]。
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