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
- 2026-08-31
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- 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 = {David Swanson and Alexander Sherry and Cara Haymaker and Alexandre Reuben and Chad Tang},
year = {2026},
journal = {Bioinformatics},
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 - David Swanson AU - Alexander Sherry AU - Cara Haymaker AU - Alexandre Reuben AU - Chad Tang PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag659 UR - https://doi.org/10.1093/bioinformatics/btag659 ER -
APA
Swanson, D., Sherry, A., Haymaker, C., Reuben, A., & Tang, C. (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. https://doi.org/10.1093/bioinformatics/btag659
Source records
- crossref · retrieved 2026-11-10T07:39:12.696Z