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Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells., , and . PLoS Comput. Biol., (2017)Compound Screening with Deep Learning for Neglected Diseases: Leishmaniasis., , , , and . MLBC, volume 165 of Proceedings of Machine Learning Research, page 47-57. PMLR, (2021)DynamicME: dynamic simulation and refinement of integrated models of metabolism and protein expression., , , , and . BMC Syst. Biol., 13 (1): 2:1-2:15 (2019)A dynamic metabolic map for diabetes., , and . Nat. Comput. Sci., 1 (5): 309-310 (2021)Genome-scale model of metabolism and gene expression provides a multi-scale description of acid stress responses in Escherichia coli., , , , and . PLoS Comput. Biol., (2019)Estimating Cellular Goals from High-Dimensional Biological Data., , , , and . KDD, page 2202-2211. ACM, (2019)Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow., , , , , , , , , and 8 other author(s). Cell systems, 2 (5): 335--346 (May 25, 2016)A bilevel optimization algorithm to identify enzymatic capacity constraints in metabolic networks., , and . Comput. Chem. Eng., 32 (9): 2072-2085 (2008)Utilizing biomarkers to forecast quantitative metabolite concentration profiles in human red blood cells., , and . CCTA, page 961-966. IEEE, (2017)GripNet: Graph information propagation on supergraph for heterogeneous graphs., , , , , and . Pattern Recognit., (2023)