Name
Abstract | ||
|---|---|---|
Interactive 3D network visualisation allows to supplement complex database queries by a visually guided exploration process. The JANet interface allows gaining deeper insights into lifespan data patterns not accessible by common database queries alone. These concepts can be utilised in many other research fields. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2393-x | BMC Bioinformatics |
Keywords | Field | DocType |
3D visualization,AgeFactDB,Ageing,Ageing factor database,Differentially expressed genes,Gene network,Lifespan | Data set,Data exploration,Biology,Genetic interventions,Visualization,Computational biology,Gene regulatory network,Genetics,Ageing factors,DNA microarray | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rolf Hühne | 1 | 7 | 1.01 |
| Viktor Kessler | 2 | 10 | 3.19 |
| Axel Fürstberger | 3 | 0 | 1.01 |
| Silke Kühlwein | 4 | 0 | 0.34 |
| Matthias Platzer | 5 | 26 | 3.84 |
| J Sühnel | 6 | 92 | 17.60 |
| Ludwig Lausser | 7 | 33 | 10.51 |
| Hans A. Kestler | 8 | 468 | 44.88 |