Cargando…
Heterogeneous data integration methods for patient similarity networks
Patient similarity networks (PSNs), where patients are represented as nodes and their similarities as weighted edges, are being increasingly used in clinical research. These networks provide an insightful summary of the relationships among patients and can be exploited by inductive or transductive l...
Autores principales: | Gliozzo, Jessica, Mesiti, Marco, Notaro, Marco, Petrini, Alessandro, Patak, Alex, Puertas-Gallardo, Antonio, Paccanaro, Alberto, Valentini, Giorgio, Casiraghi, Elena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294435/ https://www.ncbi.nlm.nih.gov/pubmed/35679533 http://dx.doi.org/10.1093/bib/bbac207 |
Ejemplares similares
-
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction
por: Perlasca, Paolo, et al.
Publicado: (2019) -
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
por: Gliozzo, Jessica, et al.
Publicado: (2020) -
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks
por: Frasca, Marco, et al.
Publicado: (2018) -
Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools
por: Perlasca, Paolo, et al.
Publicado: (2020) -
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques
por: Cappelletti, Luca, et al.
Publicado: (2022)