Name
Title | ||
|---|---|---|
NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease. |
Abstract | ||
|---|---|---|
Although many alternative approaches have been proposed and practiced for modeling diseases, the semantic web technology is a flexible and well established solution for harmonized aggregation. The benefit of this work, to use high quality and context specific data, becomes apparent in speculating previously unattended biomarker candidates around a well-known mechanism, further leveraged for experimental investigations. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s13326-016-0079-8 | J. Biomedical Semantics |
Keywords | Field | DocType |
Alzheimer's disease,Data curation,Data harmonization,Data integration,Disease modeling,Neurodegenerative diseases,RDF,Semantic web | Data science,Data integration,Data mining,Semantic integration,Disease,DECIPHER,Computer science,Semantic Web,Data curation,RDF,Semantics | Journal |
Volume | Issue | ISSN |
7 | 1 | 2041-1480 |
Citations | PageRank | References |
2 | 0.41 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anandhi Iyappan | 1 | 6 | 1.00 |
| Shweta Bagewadi Kawalia | 2 | 2 | 0.41 |
| Tamara Raschka | 3 | 6 | 1.67 |
| Martin Hofmann-Apitius | 4 | 372 | 30.08 |
| Philipp Senger | 5 | 6 | 1.95 |