Integrating transcriptomics and gene-level interpretable probabilistic Tsetlin Machine reveals elevated pancreatic cancer risk in Type 2 diabetes.
- DOI
- 10.1016/j.compbiolchem.2026.109145
- 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.2026.109145,
title = {Integrating transcriptomics and gene-level interpretable probabilistic Tsetlin Machine reveals elevated pancreatic cancer risk in Type 2 diabetes.},
author = {Basu S and Dash A and Kalita D and Singh A and Toumazou C and Mirza KB},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109145},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109145}
}RIS
TY - JOUR TI - Integrating transcriptomics and gene-level interpretable probabilistic Tsetlin Machine reveals elevated pancreatic cancer risk in Type 2 diabetes. AU - Basu S AU - Dash A AU - Kalita D AU - Singh A AU - Toumazou C AU - Mirza KB PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109145 UR - https://doi.org/10.1016/j.compbiolchem.2026.109145 ER -
APA
S, B., A, D., D, K., A, S., C, T., & KB, M. (2026). Integrating transcriptomics and gene-level interpretable probabilistic Tsetlin Machine reveals elevated pancreatic cancer risk in Type 2 diabetes.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109145
Source records
- pubmed · retrieved 2026-09-26T19:42:21.990Z