A machine-learning capillary electrophoresis-based pattern to identify suspected sickle cell trait and α-thalassemia co-inheritance
- DOI
- 10.1515/almed-2026-0045
- Published
- 2026-07-01
- Container
- Advances in Laboratory Medicine / Avances en Medicina de Laboratorio
- Publisher
- Walter de Gruyter GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1515/almed-2026-0045,
title = {A machine-learning capillary electrophoresis-based pattern to identify suspected sickle cell trait and α-thalassemia co-inheritance},
author = {David Ceacero-Marín and Anna Cortés Bosch de Basea and Isabel Puig-Pey Comas and Mónica Vidal Pla and Lourdes Sánchez Navarro},
year = {2026},
journal = {Advances in Laboratory Medicine / Avances en Medicina de Laboratorio},
doi = {10.1515/almed-2026-0045},
url = {https://doi.org/10.1515/almed-2026-0045}
}RIS
TY - JOUR TI - A machine-learning capillary electrophoresis-based pattern to identify suspected sickle cell trait and α-thalassemia co-inheritance AU - David Ceacero-Marín AU - Anna Cortés Bosch de Basea AU - Isabel Puig-Pey Comas AU - Mónica Vidal Pla AU - Lourdes Sánchez Navarro PY - 2026 JO - Advances in Laboratory Medicine / Avances en Medicina de Laboratorio DO - 10.1515/almed-2026-0045 UR - https://doi.org/10.1515/almed-2026-0045 ER -
APA
Ceacero-Marín, D., Basea, A. C. B. D., Comas, I. P., Pla, M. V., & Navarro, L. S. (2026). A machine-learning capillary electrophoresis-based pattern to identify suspected sickle cell trait and α-thalassemia co-inheritance. Advances in Laboratory Medicine / Avances en Medicina de Laboratorio. https://doi.org/10.1515/almed-2026-0045
Source records
- crossref · retrieved 2026-09-27T16:11:09.591Z