Abstract | ||
---|---|---|
The visualization and analysis of big bio-molecular networks is a key feature for the investigation and prediction of protein functions in a multi-species context. In this paper we present the design of a system that integrates data management, machine learning and visualization facilities to make effective the visual analysis of big networks by means of web-based interfaces. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/3011141.3011222 | iiWAS |
Field | DocType | Citations |
Data mining,Computer science,Visual analytics,Interactive visual analysis,Artificial intelligence,Web application,Analytics,Information visualization,Visualization,Protein function prediction,Data management,Machine learning,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paolo Perlasca | 1 | 399 | 18.67 |
Giorgio Valentini | 2 | 905 | 56.70 |
Marco Frasca | 3 | 38 | 9.72 |
Marco Mesiti | 4 | 830 | 72.53 |