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Graph ‘texture’ features as novel metrics that can summarize complex biological graphs
Objective. Image texture features, such as those derived by Haralick et al, are a powerful metric for image classification and are used across fields including cancer research. Our aim is to demonstrate how analogous texture features can be derived for graphs and networks. We also aim to illustrate...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
IOP Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598684/ https://www.ncbi.nlm.nih.gov/pubmed/37385267 http://dx.doi.org/10.1088/1361-6560/ace305 |