Tolutola Oyetunde
Title
Cited by
Cited by
Year
Decoupling resource-coupled gene expression in living cells
T Shopera, L He, T Oyetunde, YJ Tang, TS Moon
ACS synthetic biology 6 (8), 1596-1604, 2017
412017
Rapid prediction of bacterial heterotrophic fluxomics using machine learning and constraint programming
SG Wu, Y Wang, W Jiang, T Oyetunde, R Yao, X Zhang, K Shimizu, ...
PLoS computational biology 12 (4), e1004838, 2016
352016
Leveraging knowledge engineering and machine learning for microbial bio-manufacturing
T Oyetunde, FS Bao, JW Chen, HG Martin, YJ Tang
Biotechnology advances 36 (4), 1308-1315, 2018
322018
BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods
T Oyetunde, M Zhang, Y Chen, Y Tang, C Lo
Bioinformatics 33 (4), 608-611, 2017
182017
Machine learning framework for assessment of microbial factory performance
T Oyetunde, D Liu, HG Martin, YJ Tang
PloS one 14 (1), e0210558, 2019
142019
Recovering metabolic networks using a novel hyperlink prediction method
M Zhang, Z Cui, T Oyetunde, Y Tang, Y Chen
arXiv preprint arXiv:1610.06941, 2016
122016
Exploring eukaryotic formate metabolisms to enhance microbial growth and lipid accumulation
Z Liu, T Oyetunde, WD Hollinshead, A Hermanns, YJ Tang, W Liao, Y Liu
Biotechnology for biofuels 10 (1), 1-9, 2017
82017
A multiple reaction modelling framework for microbial electrochemical technologies
T Oyetunde, PM Sarma, F Ahmad, J Rodríguez
International journal of molecular sciences 18 (1), 86, 2017
42017
Modeling Bioelectrochemical Systems for Waste Water Treatment and Bioenergy Recovery with COMSOL Multiphysics®
T Oyetunde, D Ofiteru, J Rodriguez
Proceedings of the 2013 COMSOL conference in Boston, 2013
22013
Metabolite patterns reveal regulatory responses to genetic perturbations
T Oyetunde, J Czajka, G Wu, C Lo, Y Tang
arXiv preprint arXiv:1701.01744, 2017
12017
Linear, funnel, and multiple funnel schemes for stacking chromosomes that carry targeted recombinations in plants
T Oyetunde, R Bernardo
Theoretical and Applied Genetics 133 (11), 3177-3186, 2020
2020
Decoding Complexity in Metabolic Networks using Integrated Mechanistic and Machine Learning Approaches
TT Oyetunde
2018
A Deep Learning Framework Decodes Coordination of Microbial Metabolism Under Genetic and Environmental Perturbations
T Oyetunde, J Czajka, Y Tang
2017 AIChE Annual Meeting, 2017
2017
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Articles 1–13