Now showing items 1-3 of 3
Adaptively Biased Sequential Importance Sampling for Rare Events in Reaction Networks with Comparison to Exact Solutions from Finite Buffer dCME Method
(American Institute of Physics, 2013-07)
Critical events that occur rarely in biological processes are of great importance, but are challenging to study using Monte Carlo simulation. By introducing biases to reaction selection and reaction rates, weighted stochastic ...
Probability landscape of heritable and robust epigenetic state of lysogeny in phage lambda
(National Academy of Sciences, 2010-10-26)
Computational studies of biological networks can help to identify components and wirings responsible for observed phenotypes. However, studying stochastic networks controlling many biological processes is challenging. ...
Mechanical Model of Geometric Cell and Topological Algorithm for Cell Dynamics from Single-Cell to Formation of Monolayered Tissues with Pattern
(Public Library of Science, 2015-05-14)
Geometric and mechanical properties of individual cells and interactions among neighboring cells are the basis of formation of tissue patterns. Understanding the complex interplay of cells is essential for gaining insight ...