Abstract
This article introduces a novel approach to the study of the dynamics of the molecule expression level of large-size cell populations, whose goal is to understand how individual cell behavior propagates to population dynamics. A hybrid automaton framework is used which allows the simultaneous modeling of the formation and dissociation of cell-to-cell conjugations, and the molecular processes they control. Serial encounters among the cells are described by a stochastic approach under which the cell distribution over the state space is modeled and the dynamics of the state probability density functions is determined. This work is motivated by the investigation of T-cell receptor expression distribution. These receptors are essential for the antigen recognition and the regulation of the immune system. The results are illustrated with examples and validated with real data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
