3rd Annual Space Travel: Adaptive Research and Technologies from Biological and Chemical Engineering (STAR Tech 2020) November 18-20, 2020 in VIRTUAL
Tolutola Oyetunde Citation name: Oyetunde, T. Affiliation: Washington University in St. Louis State: MO Country: USA Authored:(228ay) Prediction of Bacterial Fluxomics Using Machine Learning and Constraint ProgrammingGang WuYinjie TangKazuyuki ShimizuTolutola OyetundeWu JiangForrest Sheng Bao2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(482d) Thermodynamic Analysis of the Rigidity of Metabolic Nodes Via a Dynamic Flux Balance ApproachCynthia LoTolutola OyetundeYinjie J. Tang2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(621du) Machine Learning Approaches to Design Catalysts for C1 ChemistryCynthia S. LoShane F. CarrZhuo ChengEunmin LeeTolutola OyetundeDarrell L. Nelson2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)(191di) A Deep Learning Framework Decodes Coordination of Microbial Metabolism Under Genetic and Environmental PerturbationsTolutola OyetundeJeffrey CzajkaYinjie Tang2017 Annual Meeting (ISBN: 978-0-8169-1102-8)Thermodynamic Framework for Mutant Phenotype PredictionTolutola OyetundeYinjie J. Tang5th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2018) Associated proceedings: 2016 AIChE Annual Meeting 2015 AIChE Annual Meeting Proceedings 2017 Annual Meeting 5th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2018)
