Benchmarking reference-based cellular deconvolution algorithms to predict cell proportions
- DOI
- 10.1016/j.compbiolchem.2026.109370
- Published
- 2027-02
- Container
- Computational Biology and Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109370,
title = {Benchmarking reference-based cellular deconvolution algorithms to predict cell proportions},
author = {Ayesha A. Malik and Muhtasim Noor Alif and Ayla Bratton and Jiao Sun and Qian Li and Wei Zhang},
year = {2027},
journal = {Computational Biology and Chemistry},
doi = {10.1016/j.compbiolchem.2026.109370},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109370}
}RIS
TY - JOUR TI - Benchmarking reference-based cellular deconvolution algorithms to predict cell proportions AU - Ayesha A. Malik AU - Muhtasim Noor Alif AU - Ayla Bratton AU - Jiao Sun AU - Qian Li AU - Wei Zhang PY - 2027 JO - Computational Biology and Chemistry DO - 10.1016/j.compbiolchem.2026.109370 UR - https://doi.org/10.1016/j.compbiolchem.2026.109370 ER -
APA
Malik, A. A., Alif, M. N., Bratton, A., Sun, J., Li, Q., & Zhang, W. (2027). Benchmarking reference-based cellular deconvolution algorithms to predict cell proportions. Computational Biology and Chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109370
Source records
- crossref · retrieved 2026-09-25T13:52:14.232Z