| Solving the chemical master equation by a fast adaptive finite state projection based on the stochastic simulation algorithm RB Sidje, HD Vo Mathematical biosciences 269, 10-16, 2015 | 37 | 2015 |
| An adaptive solution to the chemical master equation using tensors HD Vo, RB Sidje The Journal of chemical physics 147 (4), 2017 | 27 | 2017 |
| Approximating the large sparse matrix exponential using incomplete orthogonalization and Krylov subspaces of variable dimension HD Vo, RB Sidje Numerical linear algebra with applications 24 (3), e2090, 2017 | 23 | 2017 |
| Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models HD Vo, ZR Fox, A Baetica, B Munsky Physical Chemistry B 123 (10), 2217-2234, 2019 | 16 | 2019 |
| Bayesian inference of stochastic reaction networks using multifidelity sequential tempered Markov chain Monte Carlo TA Catanach, HD Vo, B Munsky International journal for uncertainty quantification 10 (6), 2020 | 12 | 2020 |
| Visualization and modeling of inhibition of IL-1β and TNF-α mRNA transcription at the single-cell level D Kalb, HD Vo, S Adikari, E Hong-Geller, B Munsky, J Werner Scientific Reports 11 (1), 13692, 2021 | 10 | 2021 |
| Improved Krylov-FSP method for solving the chemical master equation H Vo, RB Sidje Proceedings of the World Congress on Engineering and Computer Science 2, 521-526, 2016 | 9 | 2016 |
| Implementation of variable parameters in the Krylov-based finite state projection for solving the chemical master equation HD Vo, RB Sidje Applied Mathematics and Computation 293, 334-344, 2017 | 7 | 2017 |
| A parallel implementation of the finite state projection algorithm for the solution of the chemical master equation H Vo, B Munsky bioRxiv, 2020.06. 30.180273, 2020 | 5 | 2020 |
| Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise HD Vo, LS Forero-Quintero, LU Aguilera, B Munsky Frontiers in Cell and Developmental Biology 11, 1133994, 2023 | 4 | 2023 |
| Solving the chemical master equation by aggregation and krylov approximations HD Vo, RB Sidje 2016 IEEE 55th Conference on Decision and Control (CDC), 7093-7098, 2016 | 3 | 2016 |
| Solving the chemical master equation with the finite state projection and inexact uniformization in quantized tensor train format H Vo, R Sidje 5th international conference on computational and mathematical biomedical …, 2017 | 2 | 2017 |
| Computational study of p53 regulation via the chemical master equation HD Vo, RB Sidje Physical Biology 13 (3), 035001, 2016 | 2 | 2016 |
Brian MunskyColorado State UniversityVerified email at colostate.edu
