ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.
- DOI
- 10.1021/acs.jcim.5c02513
- Published
- 2026 Feb 23
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.5c02513,
title = {ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.},
author = {Luo H and Hu Y and Song C and Li X and Ma Y and Qian Y and Deng L},
year = {2026},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.5c02513},
url = {https://doi.org/10.1021/acs.jcim.5c02513}
}RIS
TY - JOUR TI - ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction. AU - Luo H AU - Hu Y AU - Song C AU - Li X AU - Ma Y AU - Qian Y AU - Deng L PY - 2026 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.5c02513 UR - https://doi.org/10.1021/acs.jcim.5c02513 ER -
APA
H, L., Y, H., C, S., X, L., Y, M., Y, Q., & L, D. (2026). ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.5c02513
Source records
- pubmed · retrieved 2026-09-25T21:00:43.892Z