Cargando…
Network enhancement as a general method to denoise weighted biological networks
Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome. However, biological networks are noisy due to the limitations of measurement technology and inherent natural variation, which can hamper discovery of network pattern...
Autores principales: | Wang, Bo, Pourshafeie, Armin, Zitnik, Marinka, Zhu, Junjie, Bustamante, Carlos D., Batzoglou, Serafim, Leskovec, Jure |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078978/ https://www.ncbi.nlm.nih.gov/pubmed/30082777 http://dx.doi.org/10.1038/s41467-018-05469-x |
Ejemplares similares
-
Predicting multicellular function through multi-layer tissue networks
por: Zitnik, Marinka, et al.
Publicado: (2017) -
Prioritizing network communities
por: Zitnik, Marinka, et al.
Publicado: (2018) -
To Embed or Not: Network Embedding as a Paradigm in Computational Biology
por: Nelson, Walter, et al.
Publicado: (2019) -
Modeling polypharmacy side effects with graph convolutional networks
por: Zitnik, Marinka, et al.
Publicado: (2018) -
Identification of disease treatment mechanisms through the multiscale interactome
por: Ruiz, Camilo, et al.
Publicado: (2021)