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Found 8 papers, 2 papers with code
Modelling infectious disease transmission dynamics in conference environments: An individual-based approach
The global public health landscape is perpetually challenged by the looming threat of infectious diseases.
A computational scheme connecting gene regulatory network dynamics with heterogeneous stem cell regeneration
Gene regulatory network dynamics are pivotal in controlling stem cell regeneration and cell type transitions.
scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling
The method is a neural network constructed based on Denoising Diffusion Probabilistic Models (DDPMs) and Diffusion Transformers (DiTs).
Mathematical modeling of heterogeneous stem cell regeneration: from cell division to Waddington's epigenetic landscape
In developing the mathematical models of stem cell regeneration and tissue development, cell division is the core process connecting different scale biological processes and leading to changes in cell population number and the epigenetic state of cells.
Dynamics of cell-type transition mediated by epigenetic modifications
Through model simulations, we demonstrate that random inheritance of epigenetic states during cell divisions can spontaneously induce cell differentiation, dedifferentiation, and transdifferentiation.
Using single-cell entropy to describe the dynamics of reprogramming and differentiation of induced pluripotent stem cells
Induced pluripotent stem cells (iPSCs) provide a great model to study the process of reprogramming and differentiation of stem cells.
DNA methylation heterogeneity induced by collaborations between enhancers
In this study, we developed a computational model of enhancer methylation inheritance to study the dynamics of genome-scale DNA methylation reprogramming during exit from pluripotency.
Evolutionary dynamics of cancer: from epigenetic regulation to cell population dynamics -- mathematical model framework, applications, and open problems
In this paper, we propose a general mathematical model framework for the evolutionary dynamics of cancer with plasticity and heterogeneity in cancer cells.
