Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces.
- DOI
- 10.1038/s41598-026-37803-5
- Published
- 2026 Jan 30
- Container
- Scientific reports
- 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:10.1038/s41598-026-37803-5,
title = {Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces.},
author = {Alweshah M and Jebril H and Kassaymeh S and Almiani M and Alkhalaileh S and Rjoub G},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-37803-5},
url = {https://doi.org/10.1038/s41598-026-37803-5}
}RIS
TY - JOUR TI - Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. AU - Alweshah M AU - Jebril H AU - Kassaymeh S AU - Almiani M AU - Alkhalaileh S AU - Rjoub G PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-37803-5 UR - https://doi.org/10.1038/s41598-026-37803-5 ER -
APA
M, A., H, J., S, K., M, A., S, A., & G, R. (2026). Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces.. Scientific reports. https://doi.org/10.1038/s41598-026-37803-5
Source records
- pubmed · retrieved 2026-09-25T22:47:32.583Z