A spatialised agent-based model of NOTCH signalling pathway in Endothelial Cells predicts emergent heterogeneity due to continual dynamic phenotypic adjustments

Elena Engstler; Lorenzo Veschini; François Chesnais; Matteo Battilocchi; Davide Danovi; TJ Sego; James Glazier

A spatialised agent-based model of NOTCH signalling pathway in Endothelial Cells predicts emergent heterogeneity due to continual dynamic phenotypic adjustments

Elena Engstler, Lorenzo Veschini, François Chesnais, Matteo Battilocchi, Davide Danovi, TJ Sego, James Glazier

Research output: Working paper/Preprint › Preprint

Original language	English
Publication status	Published - 2022

Cite this

@techreport{3781d9a9c10a41018992611aef380fc6,

title = "A spatialised agent-based model of NOTCH signalling pathway in Endothelial Cells predicts emergent heterogeneity due to continual dynamic phenotypic adjustments",

author = "Elena Engstler and Lorenzo Veschini and Fran{\c c}ois Chesnais and Matteo Battilocchi and Davide Danovi and TJ Sego and James Glazier",

year = "2022",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - A spatialised agent-based model of NOTCH signalling pathway in Endothelial Cells predicts emergent heterogeneity due to continual dynamic phenotypic adjustments

AU - Engstler, Elena

AU - Veschini, Lorenzo

AU - Chesnais, François

AU - Battilocchi, Matteo

AU - Danovi, Davide

AU - Sego, TJ

AU - Glazier, James

PY - 2022

Y1 - 2022

M3 - Preprint

BT - A spatialised agent-based model of NOTCH signalling pathway in Endothelial Cells predicts emergent heterogeneity due to continual dynamic phenotypic adjustments

ER -