Designing metabolic division of labor in microbial communities M Thommes, T Wang, Q Zhao, IC Paschalidis, D Segrč MSystems 4 (2), 10.1128/msystems. 00263-18, 2019 | 100 | 2019 |
Mapping the landscape of metabolic goals of a cell Q Zhao, AI Stettner, E Reznik, IC Paschalidis, D Segrč Genome biology 17, 1-11, 2016 | 46 | 2016 |
Learning cellular objectives from fluxes by inverse optimization Q Zhao, A Stettner, E Reznik, D Segrč, IC Paschalidis 2015 54th IEEE Conference on Decision and Control (CDC), 1271-1276, 2015 | 22 | 2015 |
Designing metabolic division of labor in microbial communities. mSystems 4: e00263-18 M Thommes, T Wang, Q Zhao, IC Paschalidis, D Segrč DOI 10, 00263-18, 2019 | 8 | 2019 |
Optimal allocation of metabolic functions among organisms in a microbial ecosystem Q Zhao, D Segrč, IC Paschalidisy 2016 IEEE 55th Conference on Decision and Control (CDC), 7063-7068, 2016 | 7 | 2016 |
Predicting and evaluating the effect of bivalirudin in cardiac surgical patients Q Zhao, T Edrich, IC Paschalidis IEEE Transactions on Biomedical Engineering 61 (2), 435-443, 2013 | 2 | 2013 |
Designing metabolic division of labor in microbial communities T Meghan, W Taiyao, Q Zhao, IC Paschalidis, D Segrč MSystems 4 (2), 2019 | 1 | 2019 |
Adaptive control of bivalirudin in the cardiac intensive care unit Q Zhao, T Edrich, IC Paschalidis IEEE Transactions on Biomedical Engineering 62 (2), 638-647, 2014 | 1 | 2014 |
A predictive model for the anticoagulant bivalirudin administered to cardiac surgical patients Q Zhao, T Edrich, IC Paschalidis 52nd IEEE Conference on Decision and Control, 121-126, 2013 | 1 | 2013 |
Mapping the landscape of metabolic goals of a cell D Segrč, IC Paschalidis, Q Zhao, AI Stettner, E Reznik Genome Biology, 2016 | | 2016 |
Control and optimization methods in biomedical systems: from cells to humans Q Zhao Boston University, 2016 | | 2016 |