Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery
Abstract In this study, we integrate the outcomes of co-expression network analysis with the human interactome network to predict novel putative disease genes and modules. We first apply the SWItch Miner (SWIM) methodology, which predicts important (switch) genes within the co-expression network tha...
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Autores principales: | Paola Paci, Giulia Fiscon, Federica Conte, Rui-Sheng Wang, Lorenzo Farina, Joseph Loscalzo |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/b8e7b0eeedcc4d0f8ee7cc64984fb627 |
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