CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants
- DOI
- 10.1093/bioadv/vbag135
- Published
- 2026
- Container
- Bioinformatics Advances
- Publisher
- Oxford University Press (OUP)
- 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:10.1093/bioadv/vbag135,
title = {CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants},
author = {Nabras Al-Mahrami and Aaisha Albalushi and Fahad Al Hattali and Mashael Al Balushi and Bushra Al Shamsi and Musallam Al-Oraimi and Tuqa Al Lawati and Mohamed Al-Rawahi and Nadia Alhashmi and Ahmed Al-Amri},
year = {2026},
journal = {Bioinformatics Advances},
doi = {10.1093/bioadv/vbag135},
url = {https://doi.org/10.1093/bioadv/vbag135}
}RIS
TY - JOUR TI - CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants AU - Nabras Al-Mahrami AU - Aaisha Albalushi AU - Fahad Al Hattali AU - Mashael Al Balushi AU - Bushra Al Shamsi AU - Musallam Al-Oraimi AU - Tuqa Al Lawati AU - Mohamed Al-Rawahi AU - Nadia Alhashmi AU - Ahmed Al-Amri PY - 2026 JO - Bioinformatics Advances DO - 10.1093/bioadv/vbag135 UR - https://doi.org/10.1093/bioadv/vbag135 ER -
APA
Al-Mahrami, N., Albalushi, A., Hattali, F. A., Balushi, M. A., Shamsi, B. A., Al-Oraimi, M., Lawati, T. A., Al-Rawahi, M., Alhashmi, N., & Al-Amri, A. (2026). CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag135
Source records
- crossref · retrieved 2026-09-25T17:01:43.672Z