Harnessing biological variability for mechanistic inference: A stochastic framework applied to neural stem cell dynamics.

Wang RY, Danciu DP, Klawe FZ, Marciniak-Czochra A

Open source

DOI
10.1016/j.isci.2026.117269
Published
2026 Sep 18
Container
iScience
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.isci.2026.117269,
  title = {Harnessing biological variability for mechanistic inference: A stochastic framework applied to neural stem cell dynamics.},
  author = {Wang RY and Danciu DP and Klawe FZ and Marciniak-Czochra A},
  year = {2026},
  journal = {iScience},
  doi = {10.1016/j.isci.2026.117269},
  url = {https://doi.org/10.1016/j.isci.2026.117269}
}

RIS

TY  - JOUR
TI  - Harnessing biological variability for mechanistic inference: A stochastic framework applied to neural stem cell dynamics.
AU  - Wang RY
AU  - Danciu DP
AU  - Klawe FZ
AU  - Marciniak-Czochra A
PY  - 2026
JO  - iScience
DO  - 10.1016/j.isci.2026.117269
UR  - https://doi.org/10.1016/j.isci.2026.117269
ER  - 

APA

RY, W., DP, D., FZ, K., & A, M. (2026). Harnessing biological variability for mechanistic inference: A stochastic framework applied to neural stem cell dynamics.. iScience. https://doi.org/10.1016/j.isci.2026.117269

Source records