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Machine learning framework for assessment of microbial factory performance 

Oyetunde T.; Liu D.; Garcia-Martin H.; Tang Y.J. (Plos ONE, 2019-01-01)
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess ...
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Conductance-Based Refractory Density Approach for a Population of Bursting Neurons 

Chizhov A.; Campillo F.; Desroches M.; Guillamon A; Rodrigues S. (Bulletin of Mathematical Biology, 2019)
The conductance-based refractory density (CBRD) approach is a parsimonious mathematical-computational framework for modeling interact- ing populations of regular spiking neurons, which, however, has not been yet extended ...
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AuthorGerardo-Giorda L. (7)Garcia-Martin H. (4)Desroches M. (3)Kroos J.M. (3)Rodrigues S. (3)Akhmatskaya E. (2)Discacciati M. (2)Guerra J.M. (2)Jansson J. (2)Leoni M. (2)... View MoreSubjectAl-substituted LLZO (1)analytical approximations (1)Atomistic Simulations (1)Bayesian inference (1)BOLD fMRI (1)Brain Hierarchical Atlas (1)canards (1)cell stemness (1)cellular membrane (1)computational glioscience, computational modeling, neuron-glial interactions, structure-function binomial (1)... View MoreDate Issued
2019 (22)

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