Computational tools for biomarker identification in inborn errors of metabolism: A rapid systematic review
- DOI
- 10.1016/j.ymgme.2026.110316
- Published
- 2026-12
- Container
- Molecular Genetics and Metabolism
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ymgme.2026.110316,
title = {Computational tools for biomarker identification in inborn errors of metabolism: A rapid systematic review},
author = {Diego A. Saldaña and Olga Y. Echeverri-Peña and Carlos Javier Alméciga-Díaz},
year = {2026},
journal = {Molecular Genetics and Metabolism},
doi = {10.1016/j.ymgme.2026.110316},
url = {https://doi.org/10.1016/j.ymgme.2026.110316}
}RIS
TY - JOUR TI - Computational tools for biomarker identification in inborn errors of metabolism: A rapid systematic review AU - Diego A. Saldaña AU - Olga Y. Echeverri-Peña AU - Carlos Javier Alméciga-Díaz PY - 2026 JO - Molecular Genetics and Metabolism DO - 10.1016/j.ymgme.2026.110316 UR - https://doi.org/10.1016/j.ymgme.2026.110316 ER -
APA
Saldaña, D. A., Echeverri-Peña, O. Y., & Alméciga-Díaz, C. J. (2026). Computational tools for biomarker identification in inborn errors of metabolism: A rapid systematic review. Molecular Genetics and Metabolism. https://doi.org/10.1016/j.ymgme.2026.110316
Source records
- crossref · retrieved 2026-11-09T19:28:56.891Z