Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.
- DOI
- 10.1111/nph.71461
- Published
- 2026 Oct
- Container
- The New phytologist
- 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:10.1111/nph.71461,
title = {Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.},
author = {Wang J and Zhang Y and Li B and Piao X and Zhao X and Zhang D and Wang A and Zhang B and Wang K},
year = {2026},
journal = {The New phytologist},
doi = {10.1111/nph.71461},
url = {https://doi.org/10.1111/nph.71461}
}RIS
TY - JOUR TI - Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction. AU - Wang J AU - Zhang Y AU - Li B AU - Piao X AU - Zhao X AU - Zhang D AU - Wang A AU - Zhang B AU - Wang K PY - 2026 JO - The New phytologist DO - 10.1111/nph.71461 UR - https://doi.org/10.1111/nph.71461 ER -
APA
J, W., Y, Z., B, L., X, P., X, Z., D, Z., A, W., B, Z., & K, W. (2026). Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.. The New phytologist. https://doi.org/10.1111/nph.71461
Source records
- pubmed · retrieved 2026-09-25T12:50:42.439Z