Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model.
- DOI
- 10.1371/journal.pcbi.1013202
- Published
- 2025 Jun
- Container
- PLoS computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1013202,
title = {Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model.},
author = {Browning AP and Crossley RM and Villa C and Maini PK and Jenner AL and Cassidy T and Hamis S},
year = {2025},
journal = {PLoS computational biology},
doi = {10.1371/journal.pcbi.1013202},
url = {https://doi.org/10.1371/journal.pcbi.1013202}
}RIS
TY - JOUR TI - Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model. AU - Browning AP AU - Crossley RM AU - Villa C AU - Maini PK AU - Jenner AL AU - Cassidy T AU - Hamis S PY - 2025 JO - PLoS computational biology DO - 10.1371/journal.pcbi.1013202 UR - https://doi.org/10.1371/journal.pcbi.1013202 ER -
APA
AP, B., RM, C., C, V., PK, M., AL, J., T, C., & S, H. (2025). Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1013202
Source records
- pubmed · retrieved 2026-09-25T22:13:14.758Z
- europe-pmc · retrieved 2026-09-25T22:13:14.779Z
- doaj · retrieved 2026-09-25T22:13:14.782Z
- hal · retrieved 2026-09-25T22:13:14.825Z