Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells
- DOI
- 10.1016/j.csbj.2022.10.003
- Published
- 2022-01
- Container
- Computational and Structural Biotechnology Journal
- Publisher
- American Association for the Advancement of Science (AAAS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.csbj.2022.10.003,
title = {Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells},
author = {Laurence Calzone and Vincent Noël and Emmanuel Barillot and Guido Kroemer and Gautier Stoll},
year = {2022},
journal = {Computational and Structural Biotechnology Journal},
doi = {10.1016/j.csbj.2022.10.003},
url = {https://doi.org/10.1016/j.csbj.2022.10.003}
}RIS
TY - JOUR TI - Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells AU - Laurence Calzone AU - Vincent Noël AU - Emmanuel Barillot AU - Guido Kroemer AU - Gautier Stoll PY - 2022 JO - Computational and Structural Biotechnology Journal DO - 10.1016/j.csbj.2022.10.003 UR - https://doi.org/10.1016/j.csbj.2022.10.003 ER -
APA
Calzone, L., Noël, V., Barillot, E., Kroemer, G., & Stoll, G. (2022). Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2022.10.003
Source records
- crossref · retrieved 2026-11-04T04:19:02.622Z