690 citations · 729 across the 4 of their papers we have counts for
6 papers
PhysiBoSS-Models: A database for multiscale models
Vincent Noel, Marco Ruscone, Randy Heiland +5
PhysiBoSS is an open-source platform that integrates agent-based modeling of cell populations with intracellular stochastic Boolean networks, enabling multiscale simulations of com…
Building multiscale models with PhysiBoSS, an agent-based modeling tool
Marco Ruscone, Andrea Checcoli, Randy Heiland +4
Multiscale models provide a unique tool for studying complex processes that study events occurring at different scales across space and time. In the context of biological systems,…
OpenACC Acceleration of an Agent-Based Biological Simulation Framework
Matt Stack, Paul Macklin, Robert Searles +1
Computational biology has increasingly turned to agent-based modeling to explore complex biological systems. Biological diffusion (diffusion, decay, secretion, and uptake) is a key…
Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program
Michael P Snyder, Shin Lin, Amanda Posgai +22
Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…
Key challenges facing data-driven multicellular systems biology
Paul Macklin
Increasingly sophisticated experiments, coupled with large-scale computational models, have the potential to systematically test biological hypotheses to drive our understanding of…
An evolutionary model of tumor cell kinetics and the emergence of molecular heterogeneity driving Gompertzian growth
Jeffrey West, Zaki Hasnain, Paul Macklin +1
A cell-molecular based evolutionary model of tumor development driven by a stochastic Moran birth-death process is developed, where each cell carries molecular information represen…