Name
Abstract | ||
|---|---|---|
Motivation: Increasing quantity and quality of data in transcriptomics and interactomics create the need for integrative approaches to network analysis. Here, we present a comprehensive R-package for the analysis of biological networks including an exact and a heuristic approach to identify functional modules. Results: The BioNet package provides an extensive framework for integrated network analysis in R. This includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes as well as methods for network search and visualization. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1093/bioinformatics/btq089 | BIOINFORMATICS |
Keywords | Field | DocType |
biological network,functional analysis | Data mining,Heuristic,Visualization,Computer science,Biological network,Software,Bioinformatics,Network analysis,R package | Journal |
Volume | Issue | ISSN |
26 | 8 | 1367-4803 |
Citations | PageRank | References |
30 | 1.97 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniela Beisser | 1 | 38 | 3.56 |
| Gunnar W. Klau | 2 | 869 | 55.67 |
| Thomas Dandekar | 3 | 411 | 23.17 |
| Tobias Müller | 4 | 214 | 15.95 |
| Marcus T Dittrich | 5 | 139 | 7.30 |