Assessment of network module identification across complex diseases

Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare to each other in terms of their ability to identify disease-relevant modules in different types of network remains poorly u...

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Detalles Bibliográficos
Autores principales: Choobdar, Sarvenaz, Ahsen, Mehmet E., Crawford, Jake, Tomasoni, Mattia, Fang, Tao, Lamparter, David, Lin, Junyuan, Hescott, Benjamin, Hu, Xiaozhe, Mercer, Johnathan, Natoli, Ted, Narayan, Rajiv, Subramanian, Aravind, Zhang, Jitao D., Stolovitzky, Gustavo, Kutalik, Zoltán, Lage, Kasper, Slonim, Donna K., Saez-Rodriguez, Julio, Cowen, Lenore J., Bergmann, Sven, Marbach, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2019
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719725/
https://www.ncbi.nlm.nih.gov/pubmed/31471613
http://dx.doi.org/10.1038/s41592-019-0509-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719725/
https://www.ncbi.nlm.nih.gov/pubmed/31471613
http://dx.doi.org/10.1038/s41592-019-0509-5

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