Correction: BRMDA: prediction model for potential microbe-drug associations based on bilinear attention networks and random forest.

Yu G, Chen F, Chen H, Tang S, Liang M, Liu X, Zeng B, Wang L

DOI: 10.3389/fgene.2026.1845666
Published: 2026
Container: Frontiers in genetics
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/fgene.2026.1845666,
  title = {Correction: BRMDA: prediction model for potential microbe-drug associations based on bilinear attention networks and random forest.},
  author = {Yu G and Chen F and Chen H and Tang S and Liang M and Liu X and Zeng B and Wang L},
  year = {2026},
  journal = {Frontiers in genetics},
  doi = {10.3389/fgene.2026.1845666},
  url = {https://doi.org/10.3389/fgene.2026.1845666}
}

RIS

TY  - JOUR
TI  - Correction: BRMDA: prediction model for potential microbe-drug associations based on bilinear attention networks and random forest.
AU  - Yu G
AU  - Chen F
AU  - Chen H
AU  - Tang S
AU  - Liang M
AU  - Liu X
AU  - Zeng B
AU  - Wang L
PY  - 2026
JO  - Frontiers in genetics
DO  - 10.3389/fgene.2026.1845666
UR  - https://doi.org/10.3389/fgene.2026.1845666
ER  -

APA

G, Y., F, C., H, C., S, T., M, L., X, L., B, Z., & L, W. (2026). Correction: BRMDA: prediction model for potential microbe-drug associations based on bilinear attention networks and random forest.. Frontiers in genetics. https://doi.org/10.3389/fgene.2026.1845666

Source records

pubmed · retrieved 2026-09-26T08:03:04.539Z