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Hector Garcia Martin

Showing results (1-10 of 47) with videos related to

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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 Goldenfeld
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 Martin
Methods in Molecular Biology (Clifton, N.J.)|November 25, 2017
Two-Scale <sup>13</sup>C Metabolic Flux Analysis for Metabolic EngineeringDavid Ando, Hector Garcia Martin
Current Opinion in Biotechnology|May 19, 2007
Integrating ecology into biotechnologyKatherine D McMahon, Hector Garcia Martin, Philip Hugenholtz
Nature Communications|September 26, 2020
A machine learning Automated Recommendation Tool for synthetic biologyTijana Radivojević, Zak Costello, Kenneth Workman, et al.
Plos One|January 16, 2019
Machine learning framework for assessment of microbial factory performanceTolutola Oyetunde, Di Liu, Hector Garcia Martin, et al.
Current Opinion in Biotechnology|November 29, 2025
Perspectives for artificial intelligence in bioprocess automationLaura Marie Helleckes, Sebastian Putz, Kshitiz Gupta, et al.
Journal of Chemical Information and Modeling|July 20, 2022
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular DesignVincent Blay, Tijana Radivojevic, Jonathan E Allen, et al.
Biotechnology Advances|May 6, 2018
Leveraging knowledge engineering and machine learning for microbial bio-manufacturingTolutola Oyetunde, Forrest Sheng Bao, Jiung-Wen Chen, et al.
Nature Reviews. Microbiology|June 26, 2021
Microbial production of advanced biofuelsJay Keasling, Hector Garcia Martin, Taek Soon Lee, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
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 Goldenfeld
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 Martin
Methods in Molecular Biology (Clifton, N.J.)|November 25, 2017
Two-Scale <sup>13</sup>C Metabolic Flux Analysis for Metabolic EngineeringDavid Ando, Hector Garcia Martin
Current Opinion in Biotechnology|May 19, 2007
Integrating ecology into biotechnologyKatherine D McMahon, Hector Garcia Martin, Philip Hugenholtz
Nature Communications|September 26, 2020
A machine learning Automated Recommendation Tool for synthetic biologyTijana Radivojević, Zak Costello, Kenneth Workman, et al.
Plos One|January 16, 2019
Machine learning framework for assessment of microbial factory performanceTolutola Oyetunde, Di Liu, Hector Garcia Martin, et al.
Current Opinion in Biotechnology|November 29, 2025
Perspectives for artificial intelligence in bioprocess automationLaura Marie Helleckes, Sebastian Putz, Kshitiz Gupta, et al.
Journal of Chemical Information and Modeling|July 20, 2022
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular DesignVincent Blay, Tijana Radivojevic, Jonathan E Allen, et al.
Biotechnology Advances|May 6, 2018
Leveraging knowledge engineering and machine learning for microbial bio-manufacturingTolutola Oyetunde, Forrest Sheng Bao, Jiung-Wen Chen, et al.
Nature Reviews. Microbiology|June 26, 2021
Microbial production of advanced biofuelsJay Keasling, Hector Garcia Martin, Taek Soon Lee, et al.
Pageof 5