SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques
- DOI
- 10.3389/fpls.2025.1629794
- Published
- 2025-07-16
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3389/fpls.2025.1629794,
title = {SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques},
author = {Baixue Qiao and Wentao Gao and Xudong Zhang and Min Du and Shuda Wang and Xuanrui Liu and Shaozi Pang and Chunxue Yang and Jiang Wang and Yuming Zhao and Linan Xie},
year = {2025},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2025.1629794},
url = {https://doi.org/10.3389/fpls.2025.1629794}
}RIS
TY - JOUR TI - SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques AU - Baixue Qiao AU - Wentao Gao AU - Xudong Zhang AU - Min Du AU - Shuda Wang AU - Xuanrui Liu AU - Shaozi Pang AU - Chunxue Yang AU - Jiang Wang AU - Yuming Zhao AU - Linan Xie PY - 2025 JO - Frontiers in Plant Science DO - 10.3389/fpls.2025.1629794 UR - https://doi.org/10.3389/fpls.2025.1629794 ER -
APA
Qiao, B., Gao, W., Zhang, X., Du, M., Wang, S., Liu, X., Pang, S., Yang, C., Wang, J., Zhao, Y., & Xie, L. (2025). SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2025.1629794
Source records
- crossref · retrieved 2026-09-25T08:37:39.890Z