The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

Single and collective cell migration are fundamental processes critical for physiological
phenomena ranging from embryonic development and immune response to wound healing …

Advances in single-cell technologies allow scrutinizing of heterogeneous cell states,
however, detecting cell-state transitions from snap-shot single-cell transcriptome data …

Determining the drug-target residence time (RT) is of major interest in drug discovery given
that this kinetic parameter often represents a better indicator of in vivo drug efficacy than …

Dimension reduction is a challenging problem in complex dynamical systems. Here, a
dimension reduction approach of landscape (DRL) for complex dynamical systems is …

Complex interactions between genes determine the development and differentiation of cells.
We establish a landscape theory for cell differentiation with proliferation effect, in which the …

We derive general bounds on the probability that the empirical first-passage time τ¯ n≡∑ i=
1 n τ i/n of a reversible ergodic Markov process inferred from a sample of n independent …

Recent advances in microscopy techniques make it possible to study the growth, dynamics,
and response of complex biophysical systems at single-cell resolution, from bacterial …

The cell cycle is a process and function of a cell with different phases essential for cell
growth, proliferation, and replication. It depends on the structure and dynamics of the …

The dynamical properties of many complex physical and biological systems can be
quantified from the energy landscape theory. Previous approaches focused on estimating …