Using graph theory to analyze biological networks.
- DOI
- 10.1186/1756-0381-4-10
- Published
- 2011 Apr 28
- Container
- BioData mining
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1186/1756-0381-4-10,
title = {Using graph theory to analyze biological networks.},
author = {Pavlopoulos GA and Secrier M and Moschopoulos CN and Soldatos TG and Kossida S and Aerts J and Schneider R and Bagos PG},
year = {2011},
journal = {BioData mining},
doi = {10.1186/1756-0381-4-10},
url = {https://doi.org/10.1186/1756-0381-4-10}
}RIS
TY - JOUR TI - Using graph theory to analyze biological networks. AU - Pavlopoulos GA AU - Secrier M AU - Moschopoulos CN AU - Soldatos TG AU - Kossida S AU - Aerts J AU - Schneider R AU - Bagos PG PY - 2011 JO - BioData mining DO - 10.1186/1756-0381-4-10 UR - https://doi.org/10.1186/1756-0381-4-10 ER -
APA
GA, P., M, S., CN, M., TG, S., S, K., J, A., R, S., & PG, B. (2011). Using graph theory to analyze biological networks.. BioData mining. https://doi.org/10.1186/1756-0381-4-10
Source records
- pubmed · retrieved 2026-11-10T13:06:36.397Z