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NPJ Systems Biology and Applications|June 7, 2018
A machine learning approach to predict metabolic pathway dynamics from time-series multiomics dataZak Costello, Hector Garcia MartinNature Communications|September 26, 2020
A machine learning Automated Recommendation Tool for synthetic biologyTijana Radivojević, Zak Costello, Kenneth Workman, et al.ACS Synthetic Biology|October 24, 2018
Parallel Integration and Chromosomal Expansion of Metabolic PathwaysGarima Goyal, Zak Costello, Jorge Alonso-Gutierrez, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 23, 2002
Linearity and scaling of a statistical model for the species abundance distributionHector Garcia Martin, Nigel GoldenfeldMethods in Molecular Biology (Clifton, N.J.)|November 25, 2017
Two-Scale <sup>13</sup>C Metabolic Flux Analysis for Metabolic EngineeringDavid Ando, Hector Garcia MartinPlos Computational Biology|November 10, 2023
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scaleTyler W H Backman, Christina Schenk, Tijana Radivojevic, et al.Current Opinion in Biotechnology|May 19, 2007
Integrating ecology into biotechnologyKatherine D McMahon, Hector Garcia Martin, Philip HugenholtzNature Communications|September 26, 2020
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolismJie Zhang, Søren D Petersen, Tijana Radivojevic, et al.Nature Communications|March 22, 2018
Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beerCharles M Denby, Rachel A Li, Van T Vu, et al.ACS Synthetic Biology|September 14, 2019
Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of <i>Pseudomonas putida</i> l-Lysine MetabolismMitchell G Thompson, Zak Costello, Niklas F C Hummel, et al.Pageof 5