Identifying expanding TCR clonotypes with a longitudinal Bayesian mixture model and their associations with cancer patient prognosis, metastasis-directed therapy, and VJ gene enrichment.
- DOI
- 10.1093/bioinformatics/btag659
- Published
- 2026 Sep 2
- Container
- Bioinformatics (Oxford, England)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag659,
title = {Identifying expanding TCR clonotypes with a longitudinal Bayesian mixture model and their associations with cancer patient prognosis, metastasis-directed therapy, and VJ gene enrichment.},
author = {Swanson D and Sherry A and Haymaker C and Reuben A and Tang C},
year = {2026},
journal = {Bioinformatics (Oxford, England)},
doi = {10.1093/bioinformatics/btag659},
url = {https://doi.org/10.1093/bioinformatics/btag659}
}RIS
TY - JOUR TI - Identifying expanding TCR clonotypes with a longitudinal Bayesian mixture model and their associations with cancer patient prognosis, metastasis-directed therapy, and VJ gene enrichment. AU - Swanson D AU - Sherry A AU - Haymaker C AU - Reuben A AU - Tang C PY - 2026 JO - Bioinformatics (Oxford, England) DO - 10.1093/bioinformatics/btag659 UR - https://doi.org/10.1093/bioinformatics/btag659 ER -
APA
D, S., A, S., C, H., A, R., & C, T. (2026). Identifying expanding TCR clonotypes with a longitudinal Bayesian mixture model and their associations with cancer patient prognosis, metastasis-directed therapy, and VJ gene enrichment.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag659
Source records
- pubmed · retrieved 2026-09-25T01:46:05.452Z