Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/72576
Título: | The role of network science in glioblastoma |
Autor(es): | Lopes, Marta B. Martins, Eduarda P. Vinga, Susana Costa, Bruno Marques |
Palavras-chave: | Network analysis Differential network expression Model regularization Causal discovery Multi-omics Biomarker selection Precision medicine Personalized therapy |
Data: | 2-Mar-2021 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Cancers |
Citação: | Lopes, M.B.; Martins, E.P.; Vinga, S.; Costa, B.M. The Role of Network Science in Glioblastoma. Cancers 2021, 13, 1045. https://doi.org/10.3390/cancers13051045 |
Resumo(s): | Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/72576 |
DOI: | 10.3390/cancers13051045 |
e-ISSN: | 2072-6694 |
Versão da editora: | https://www.mdpi.com/2072-6694/13/5/1045 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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cancers-13-01045-v2.pdf | 5,1 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons