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基于网络的拷贝数变异分析

基于网络的拷贝数变异分析将全基因组CNV数据与生物相互作用网络（如蛋白质-蛋白质相互作用（PPI）或通路网络）相结合，以识别单独的CNV检测可能遗漏的功能上连贯的区域、驱动基因和改变的子网络。通过在网络图中传播CNV信号，该方法揭示了汇聚于共同生物学功能的协调的基因组剂量不平衡，这在癌症基因组学和罕见病研究中尤其强大。

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基于网络的拷贝数变异分析
拷贝数变异分析基因集富集分析 (GSEA)基于网络的全基因组关联研究基于网络的RNA测序差异表达分析通路富集分析变异检测

来源

  1. Vandin, F., Upfal, E., & Raphael, B. J. (2012). De novo discovery of mutated driver pathways in cancer. Genome Research, 22(2), 375–385. DOI: 10.1101/gr.120477.111 ↗
  2. Leiserson, M. D. M., Vandin, F., Wu, H.-T., Dobson, J. R., Eldridge, J. V., Thomas, J. L., Papoutsaki, A., Kim, Y., Niu, B., McLellan, M., Lawrence, M. S., Gonzalez-Perez, A., Tamborero, D., Cheng, Y., Ryslik, G. A., Lopez-Bigas, N., Getz, G., Ding, L., & Raphael, B. J. (2015). Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature Genetics, 47(2), 106–114. DOI: 10.1038/ng.3168 ↗

如何引用本页

ScholarGate. (2026, June 3). Network-Based Copy Number Variation Analysis. ScholarGate. https://scholargate.app/zh/bioinformatics/network-based-copy-number-variation-analysis

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ScholarGate — Network-based copy number variation analysis (Network-Based Copy Number Variation Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/bioinformatics/network-based-copy-number-variation-analysis · 数据集： https://doi.org/10.5281/zenodo.20539026