In-silico transcriptomic characterization analysis identifies SMAD5, USP2, and CUL4A as key biomarkers and therapeutic targets in colorectal cancer.
- DOI
- 10.1016/j.compbiolchem.2026.109510
- Published
- 2026 Oct 24
- 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.2026.109510,
title = {In-silico transcriptomic characterization analysis identifies SMAD5, USP2, and CUL4A as key biomarkers and therapeutic targets in colorectal cancer.},
author = {Alqarni SS and Alshehri S and Alkarni M and Alkhateeb MA},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109510},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109510}
}RIS
TY - JOUR TI - In-silico transcriptomic characterization analysis identifies SMAD5, USP2, and CUL4A as key biomarkers and therapeutic targets in colorectal cancer. AU - Alqarni SS AU - Alshehri S AU - Alkarni M AU - Alkhateeb MA PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109510 UR - https://doi.org/10.1016/j.compbiolchem.2026.109510 ER -
APA
SS, A., S, A., M, A., & MA, A. (2026). In-silico transcriptomic characterization analysis identifies SMAD5, USP2, and CUL4A as key biomarkers and therapeutic targets in colorectal cancer.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109510
Source records
- pubmed · retrieved 2026-11-10T20:33:03.418Z