Cellular perception of growth rate and the mechanistic origin of bacterial growth law C Wu, R Balakrishnan, N Braniff, M Mori, G Manzanarez, Z Zhang, T Hwa Proceedings of the National Academy of Sciences 119 (20), e2201585119, 2022 | 44 | 2022 |
New opportunities for optimal design of dynamic experiments in systems and synthetic biology N Braniff, B Ingalls Current Opinion in Systems Biology 9, 42-48, 2018 | 25 | 2018 |
Deep reinforcement learning for optimal experimental design in biology NJ Treloar, N Braniff, B Ingalls, CP Barnes PLOS Computational Biology 18 (11), e1010695, 2022 | 14 | 2022 |
Component characterization in a growth-dependent physiological context: optimal experimental design N Braniff, M Scott, B Ingalls Processes 7 (1), 52, 2019 | 9 | 2019 |
Optimal experimental design for a bistable gene regulatory network N Braniff, A Richards, B Ingalls IFAC-PapersOnLine 52 (26), 255-261, 2019 | 8 | 2019 |
NLoed: A Python package for nonlinear optimal experimental design in systems biology N Braniff, T Pearce, Z Lu, M Astwood, WSR Forrest, C Receno, B Ingalls ACS Synthetic Biology 11 (12), 3921-3928, 2022 | 4 | 2022 |
Optimal experimental design for characterizing gene expression: Sample scheduling N Braniff, M Reed, B Ingalls IFAC-PapersOnLine 51 (19), 48-51, 2018 | 2 | 2018 |
Optimal Experimental Design Applied to Models of Microbial Gene Regulation N Braniff University of Waterloo, 2020 | 1 | 2020 |
INAUGURAL ARTICLE by a Recently Elected Academy Member: Cellular perception of growth rate and the mechanistic origin of bacterial growth law C Wu, R Balakrishnan, N Braniff, M Mori, G Manzanarez, Z Zhang, T Hwa Proceedings of the National Academy of Sciences of the United States of …, 2022 | | 2022 |
Integrative Analysis of Transcriptomic Data Applied to Prostate Cancer Metastasis N Braniff | | 2015 |
The Level Set Method for Simulating Gravity Currents N Braniff | | |