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N-Gene and T-Gene Deregulation Networks: A data-driven causal framework for the analysis of gene interventions in cancer

2023-12-29

Abstract excerpt

<h4>Background</h4> The construction of realistic gene regulatory networks is currently hindered by the complex, often redundant, combinatorial and multi-layered nature of gene interdependencies, the limited availability of functional annotations, and the intrinsic shortcomings of co-expression-based approaches. Here, we introduce Gene Deregulation Networks (GDNs), a new structure in which linked genes indicate t...

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Literature Corpus work
af9bc89b-4a44-5c4a-b23f-ee6437ca4554
DOI
10.1101/2023.12.28.573550
Open publication

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N-Gene and T-Gene Deregulation Networks: A data-driven causal framework for the analysis of gene interventions in cancerDOI 10.1101/2023.12.28.573550
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