Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.
- DOI
- 10.1016/j.compbiolchem.2026.109225
- Published
- 2026 Oct
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109225,
title = {Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.},
author = {Joshi RC and Srivastava P and Mishra R and Cika P and Burget R and Dutta MK},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109225},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109225}
}RIS
TY - JOUR TI - Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms. AU - Joshi RC AU - Srivastava P AU - Mishra R AU - Cika P AU - Burget R AU - Dutta MK PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109225 UR - https://doi.org/10.1016/j.compbiolchem.2026.109225 ER -
APA
RC, J., P, S., R, M., P, C., R, B., & MK, D. (2026). Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109225
Source records
- pubmed · retrieved 2026-09-25T16:20:16.887Z