4 papers
Effective computational methods for hybrid stochastic gene networks
Guilherme C. P. Innocentini, Fernando Antoneli, Arran Hodgkinson +1
At the scale of the individual cell, protein production is a stochastic process with multiple time scales, combining quick and slow random steps with discontinuous and smooth varia…
Time-inhomogeneous random Markov chains
G. C. P. Innocentini, M. Novaes
We consider Markov chains with random transition probabilities which, moreover, fluctuate randomly with time. We describe such a system by a product of stochastic matrices, $U(t)=M…
Comment on "Steady-state fluctuations of a genetic feedback loop: an exact solution" [J. Chem. Phys. {\bf 137}, 035104 (2012).]
Guilherme C. P. Innocentini, Alexandre F. Ramos, José Eduardo M. Hornos
The comment is intended to answer the criticism presented on `Steady-state fluctuations of a genetic feedback loop: an exact solution' [J. Chem. Phys. {\bf 137}, 035104 (2012).] an…
Modeling stochastic gene expression under repression
Guilherme da C. P. Innocentini, Jose E. M. Hornos
Intrinsic transcriptional noise induced by operator fluctuations is investigated with a simple spin like stochastic model. The effects of transcriptional fluctuations in protein sy…