| Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks N Olsman, AA Baetica, F Xiao, YP Leong, RM Murray, JC Doyle Cell systems 9 (1), 49-63. e16, 2019 | 69 | 2019 |
| Dynamical quorum-sensing in oscillators coupled through an external medium DJ Schwab, A Baetica, P Mehta Physica D: Nonlinear Phenomena 241 (21), 1782-1788, 2012 | 63 | 2012 |
| Population regulation in microbial consortia using dual feedback control X Ren, AA Baetica, A Swaminathan, RM Murray 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5341-5347, 2017 | 53 | 2017 |
| Control theoretical concepts for synthetic and systems biology AA Baetica, A Westbrook, H El-Samad Current Opinion in Systems Biology 14, 50-57, 2019 | 30 | 2019 |
| Bayesian estimation for stochastic gene expression using multifidelity models HD Vo, ZR Fox, A Baetica, B Munsky biorxiv, 468090, 2019 | 22 | 2019 |
| Guidelines for designing the antithetic feedback motif AA Baetica, YP Leong, RM Murray Physical biology 17 (5), 055002, 2020 | 19 | 2020 |
| Hard Limits And Performance Tradeoffs In A Class Of Sequestration Feedback Systems N Olsman, AA Baetica, F Xiao, YP Leong, J Doyle, R Murray bioRxiv, 2017 | 19 | 2017 |
| Context Dependence of Biological Circuits TA Catanach, R McCardell, AA Baetica, RM Murray bioRxiv. org, 2018 | 6 | 2018 |
| Recursively constructing analytic expressions for equilibrium distributions of stochastic biochemical reaction networks XF Meng, AA Baetica, V Singhal, RM Murray Journal of The Royal Society Interface 14 (130), 20170157, 2017 | 6* | 2017 |
| A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks AA Baetica, Y Yuan, J Gonçalves, RM Murray 2015 54th IEEE Conference on Decision and Control (CDC), 3199-3205, 2015 | 6 | 2015 |
| Design Guidelines For Sequestration Feedback Networks AA Baetica, YP Leong, N Olsman, RM Murray | 5 | 2018 |
| Design, Analysis, And Computational Methods For Engineering Synthetic Biological Networks AA Baetica California Institute of Technology, 2018 | 3 | 2018 |
| A Bayesian approach to inferring chemical signal timing and amplitude in a temporal logic gate using the cell population distributional response AA Baetica, TA Catanach, V Hsiao, R Murray, J Beck bioRxiv, 087379, 2016 | 2 | 2016 |
| Fundamental trade-offs in the robustness of biological systems with feedback regulation NHN Tran, A Nguyen, TW Rahman, AA Baetica ACS synthetic biology, 2025 | 1 | 2025 |
| Sequential Tempered Markov Chain Monte Carlo for Model Selection of Synthetic Biological Circuits. TA Catanach, R McCardell, AA Baetica, RIM Murray, V Hsiao Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018 | | 2018 |
| Finding stationary solutions to the chemical master equation by gluing state spaces at one or two states recursively X Meng, AA Baetica, V Singhal, RM Murray | | 2015 |
| Novel AI Algorithms for Bridging Protein and Gene Regulation Modeling in Cellular Engineering ZR Fox, B Akpa, AA Baetica | | |
| Supporting information for “Bayesian estimation for stochastic gene expression using multifidelity models” HD Vo, Z Fox, A Baetica, B Munsky | | |
