Article ; Online: NetVA: an R package for network vulnerability and influence analysis.
Journal of biomolecular structure & dynamics
2024 , Page(s) 1–12
Abstract: In biological network analysis, identifying key molecules plays a decisive role in the development of potential diagnostic and therapeutic candidates. Among various approaches of network analysis, network vulnerability analysis is quite important, as it ... ...
| Abstract | In biological network analysis, identifying key molecules plays a decisive role in the development of potential diagnostic and therapeutic candidates. Among various approaches of network analysis, network vulnerability analysis is quite important, as it assesses significant associations between topological properties and the functional essentiality of a network. Similarly, some node centralities are also used to screen out key molecules. Among these node centralities, escape velocity centrality (EVC), and its extended version (EVC+) outperform others, |
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| Language | English | |||||
| Publishing date | 2024-01-17 | |||||
| Publishing country | England | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 49157-3 | |||||
| ISSN | 1538-0254 ; 0739-1102 | |||||
| ISSN (online) | 1538-0254 | |||||
| ISSN | 0739-1102 | |||||
| DOI | 10.1080/07391102.2024.2303607 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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