| Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics B Munsky, Z Fox, G Neuert Methods 85, 12-21, 2015 | 98 | 2015 |
| Distribution shapes govern the discovery of predictive models for gene regulation B Munsky, G Li, ZR Fox, DP Shepherd, G Neuert Proceedings of the National Academy of Sciences 115 (29), 7533-7538, 2018 | 95 | 2018 |
| Nonspecific transcription factor binding can reduce noise in the expression of downstream proteins M Soltani, P Bokes, Z Fox, A Singh Physical biology 12 (5), 055002, 2015 | 62 | 2015 |
| Finite state projection based bounds to compare chemical master equation models using single-cell data Z Fox, G Neuert, B Munsky Journal of Chemical Physics 145, 2016 | 45 | 2016 |
| Aging power spectrum of membrane protein transport and other subordinated random walks ZR Fox, E Barkai, D Krapf Nature communications 12 (1), 6162, 2021 | 41 | 2021 |
| Enabling reactive microscopy with MicroMator ZR Fox, S Fletcher, A Fraisse, C Aditya, S Sosa-Carrillo, J Petit, S Gilles, ... Nature Communications 13 (1), 2199, 2022 | 34 | 2022 |
| The finite state projection based Fisher information matrix approach to estimate information and optimize single-cell experiments ZR Fox, B Munsky PLoS computational biology 15 (1), e1006365, 2019 | 29 | 2019 |
| Development of the Senseiver for efficient field reconstruction from sparse observations JE Santos, ZR Fox, A Mohan, D O’Malley, H Viswanathan, N Lubbers Nature Machine Intelligence 5 (11), 1317-1325, 2023 | 26 | 2023 |
| Bayesian estimation for stochastic gene expression using multifidelity models HD Vo, Z Fox, A Baetica, B Munsky The Journal of Physical Chemistry B 123 (10), 2217-2234, 2019 | 19 | 2019 |
| Blackout diffusion: generative diffusion models in discrete-state spaces JE Santos, ZR Fox, N Lubbers, YT Lin International Conference on Machine Learning, 9034-9059, 2023 | 18 | 2023 |
| Computational design and interpretation of single-RNA translation experiments LU Aguilera, W Raymond, ZR Fox, M May, E Djokic, T Morisaki, ... PLoS computational biology 15 (10), e1007425, 2019 | 15 | 2019 |
| Adaptive language model training for molecular design AE Blanchard, D Bhowmik, Z Fox, J Gounley, J Glaser, BS Akpa, S Irle Journal of Cheminformatics 15 (1), 59, 2023 | 13 | 2023 |
| Disorder, oscillatory dynamics and state switching: the role of c-Myc N Rangarajan, Z Fox, A Singh, P Kulkarni, G Rangarajan Journal of Theoretical Biology 386, 105-114, 2015 | 13 | 2015 |
| Optimal Design of Single‐Cell Experiments within Temporally Fluctuating Environments ZR Fox, G Neuert, B Munsky Complexity 2020 (1), 8536365, 2020 | 10 | 2020 |
| Diverse cell stimulation kinetics identify predictive signal transduction models H Jashnsaz, ZR Fox, JJ Hughes, G Li, B Munsky, G Neuert Iscience 23 (10), 2020 | 9 | 2020 |
| MicroMator: Open and flexible software for reactive microscopy ZR Fox, S Fletcher, A Fraisse, C Aditya, S Sosa-Carrillo, S Gilles, ... bioRxiv, 2021.03. 12.435206, 2021 | 8 | 2021 |
| Transferring a molecular foundation model for polymer property predictions P Zhang, L Kearney, D Bhowmik, Z Fox, AK Naskar, J Gounley Journal of Chemical Information and Modeling 63 (24), 7689-7698, 2023 | 6 | 2023 |
| Stochasticity or Noise in Biochemical Reactions Z Fox, B Munsky arXiv preprint arXiv:1708.09264, 2017 | 6 | 2017 |
| Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses H Jashnsaz, ZR Fox, B Munsky, G Neuert STAR protocols 2 (3), 100660, 2021 | 4 | 2021 |
| Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms D Bhowmik, P Zhang, Z Fox, S Irle, J Gounley Patterns 5 (4), 2024 | 3 | 2024 |
Brian MunskyColorado State UniversityVerified email at colostate.edu