Cargando…
Cell size distribution of lineage data: analytic results and parameter inference
Recent advances in single-cell technologies have enabled time-resolved measurements of the cell size over several cell cycles. These data encode information on how cells correct size aberrations so that they do not grow abnormally large or small. Here, we formulate a piecewise deterministic Markov m...
Autores principales: | Jia, Chen, Singh, Abhyudai, Grima, Ramon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961097/ https://www.ncbi.nlm.nih.gov/pubmed/33748708 http://dx.doi.org/10.1016/j.isci.2021.102220 |
Ejemplares similares
-
Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach
por: Jia, Chen, et al.
Publicado: (2022) -
Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasis
por: Jia, Chen, et al.
Publicado: (2022) -
Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells
por: Cao, Zhixing, et al.
Publicado: (2020) -
Benchmarking Gene Regulatory Network Inference Methods on Simulated and Experimental Data
por: Saint-Antoine, Michael, et al.
Publicado: (2023) -
Parameter inference for stochastic single-cell dynamics from lineage tree data
por: Kuzmanovska, Irena, et al.
Publicado: (2017)