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Nathan Braniff
Nathan Braniff
University of California, San Diego
Zweryfikowany adres z uwaterloo.ca
Tytuł
Cytowane przez
Cytowane przez
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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
422022
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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