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Nathan Braniff
Nathan Braniff
University of California, San Diego
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
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
392022
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
242018
Deep reinforcement learning for optimal experimental design in biology
NJ Treloar, N Braniff, B Ingalls, CP Barnes
PLOS Computational Biology 18 (11), e1010695, 2022
122022
Component characterization in a growth-dependent physiological context: optimal experimental design
N Braniff, M Scott, B Ingalls
Processes 7 (1), 52, 2019
92019
Optimal experimental design for a bistable gene regulatory network
N Braniff, A Richards, B Ingalls
IFAC-PapersOnLine 52 (26), 255-261, 2019
82019
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
32022
Optimal experimental design for characterizing gene expression: Sample scheduling
N Braniff, M Reed, B Ingalls
IFAC-PapersOnLine 51 (19), 48-51, 2018
22018
Optimal Experimental Design Applied to Models of Microbial Gene Regulation
N Braniff
University of Waterloo, 2020
12020
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
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Articles 1–11