Long-term clonal analysis using stochastic models reveals heterogeneity and quiescence of hematopoietic stem cells
- DOI
- 10.1016/j.compbiomed.2026.111650
- Published
- 2026-05
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111650,
title = {Long-term clonal analysis using stochastic models reveals heterogeneity and quiescence of hematopoietic stem cells},
author = {Yuri Garcia Vilela and Lars Thielecke and Artur C. Fassoni and Ingmar Glauche},
year = {2026},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2026.111650},
url = {https://doi.org/10.1016/j.compbiomed.2026.111650}
}RIS
TY - JOUR TI - Long-term clonal analysis using stochastic models reveals heterogeneity and quiescence of hematopoietic stem cells AU - Yuri Garcia Vilela AU - Lars Thielecke AU - Artur C. Fassoni AU - Ingmar Glauche PY - 2026 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2026.111650 UR - https://doi.org/10.1016/j.compbiomed.2026.111650 ER -
APA
Vilela, Y. G., Thielecke, L., Fassoni, A. C., & Glauche, I. (2026). Long-term clonal analysis using stochastic models reveals heterogeneity and quiescence of hematopoietic stem cells. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2026.111650
Source records
- crossref · retrieved 2026-09-26T18:23:19.632Z