Name
Title | ||
|---|---|---|
Introducing the Physiome Journal: Improving Reproducibility, Reuse, and Discovery of Computational Models |
Abstract | ||
|---|---|---|
In August 2017 under the auspices of the International Union of Physiological Sciences (IUPS), we will launch a new journal: Physiome. The goal of Physiome is to promote, encourage, and support the wide-spread adoption of technologies and workflows that generally improve the ability of scientists to discover existing computational models which are relevant to their work, reproduce the predictions of those models, and understand the scope, limitations, and provenance of the models in order to appropriately reuse suitable models in the quest to address their own hypotheses. As we prepare for the launch, we present here the current status and future plans for Physiome. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/eScience.2017.65 | 2017 IEEE 13th International Conference on e-Science (e-Science) |
Keywords | Field | DocType |
IUPS Physiome Project,CellML,SED-ML,COMBINE,Physiome Model Repository | Data science,Data mining,Reuse,Computer science,Physiome,Computational model,Workflow | Conference |
ISSN | ISBN | Citations |
2325-372X | 978-1-5386-2687-0 | 1 |
PageRank | References | Authors |
0.35 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David P. Nickerson | 1 | 290 | 19.99 |
| Hunter P J | 2 | 1352 | 177.64 |