The paper proposes Metropolis adjusted Langevin and Hamiltonian Monte Carlo sampling
methods defined on the Riemann manifold to resolve the shortcomings of existing Monte …

Systems biology is an integrative discipline connecting the molecular components within a
single biological scale and also among different scales (eg cells, tissues and organ systems) …

In 2008, we published the first set of guidelines for standardizing research in autophagy.
Since then, this topic has received increasing attention, and many scientists have entered …

Absolute metabolite concentrations are critical to a quantitative understanding of cellular
metabolism, as concentrations impact both the free energies and rates of metabolic …

Flexible computation is a hallmark of intelligent behavior. However, little is known about how
neural networks contextually reconfigure for different computations. In the present work, we …

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior
distributions without having to calculate likelihoods. In this paper, we discuss and apply an …

Surface reaction networks involving hydrocarbons exhibit enormous complexity with
thousands of species and reactions for all but the very simplest of chemistries. We present a …

One defining goal of synthetic biology is the development of engineering-based approaches
that enable the construction of gene-regulatory networks according to 'design specifications' …

Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …

In contrast to a single quantum bit, an oscillator can store multiple excitations and
coherences provided one has the ability to generate and manipulate complex multiphoton …