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Books and Theses
- 2015
[b1]Peter C. St. John:
Mathematical Approaches to Understanding Mammalian Circadian Rhythms. University of California, Santa Barbara, USA, 2015
Journal Articles
- 2023
- [j7]Patrick Emami
, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & play directed evolution of proteins with gradient-based discrete MCMC. Mach. Learn. Sci. Technol. 4(2): 25014 (2023) - 2022
- [j6]David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John:
graphenv: a Python library for reinforcement learning on graph search spaces. J. Open Source Softw. 7(78): 4621 (2022) - [j5]Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John:
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. Nat. Mach. Intell. 4(8): 720-730 (2022) - 2021
- [j4]Shubham Pandey, Jiaxing Qu, Vladan Stevanovic, Peter C. St. John, Prashun Gorai:
Predicting energy and stability of known and hypothetical crystals using graph neural network. Patterns 2(11): 100361 (2021) - 2019
- [j3]Peter C. St. John, Jonathan Strutz, Linda J. Broadbelt, Keith E. J. Tyo, Yannick J. Bomble:
Bayesian inference of metabolic kinetics from genome-scale multiomics data. PLoS Comput. Biol. 15(11) (2019) - 2015
- [j2]Peter C. St. John, Francis J. Doyle III:
Quantifying Stochastic Noise in Cultured Circadian Reporter Cells. PLoS Comput. Biol. 11(11) (2015) - 2013
- [j1]Peter C. St. John, Francis J. Doyle:
Estimating confidence intervals in predicted responses for oscillatory biological models. BMC Syst. Biol. 7: 71 (2013)
Informal and Other Publications
- 2022
- [i2]Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC. CoRR abs/2212.09925 (2022) - 2018
- [i1]Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen:
Message-passing neural networks for high-throughput polymer screening. CoRR abs/1807.10363 (2018)
Coauthor Index
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