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Deep reinforcement learning for optimal experimental design in biology
by
Treloar, Neythen J
,
Braniff, Nathan
,
Ingalls, Brian
,
Barnes, Chris P
Published in
PLoS computational biology
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Cellular perception of growth rate and the mechanistic origin of bacterial growth law
by
Wu, Chenhao
,
Balakrishnan, Rohan
,
Braniff, Nathan
,
Mori, Matteo
,
Manzanarez, Gabriel
,
Zhang, Zhongge
,
Hwa, Terence
Published in
Proceedings of the National Academy of Sciences - PNAS
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New opportunities for optimal design of dynamic experiments in systems and synthetic biology
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Braniff, Nathan
,
Ingalls, Brian
Published in
Current opinion in systems biology
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Component Characterization in a Growth-Dependent Physiological Context: Optimal Experimental Design
by
Braniff, Nathan
,
Scott, Matthew
,
Ingalls, Brian
Published in
Processes
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NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology
by
Braniff, Nathan
,
Pearce, Taylor
,
Lu, Zixuan
,
Astwood, Michael
,
Forrest, William S. R.
,
Receno, Cody
,
Ingalls, Brian
Published in
ACS synthetic biology
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Optimal Experimental Design for a Bistable Gene Regulatory Network
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Braniff, Nathan
,
Richards, Addison
,
Ingalls, Brian
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