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A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.
Published in:
NPJ Systems Biology & Applications, 2018, v. 4, n. 1, p. N.PAG, doi. 10.1038/s41540-018-0054-3
By:
- Costello, Zak;
- Martin, Hector Garcia
Publication type:
Article
A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.
Published in:
NPJ Systems Biology & Applications, 2018, v. 4, n. 1, p. N.PAG, doi. 10.1038/s41540-018-0054-3
By:
- Costello, Zak;
- Martin, Hector Garcia
Publication type:
Article
Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation.
Published in:
Microbial Cell Factories, 2020, v. 19, n. 1, p. N.PAG, doi. 10.1186/s12934-020-01423-z
By:
- Wehrs, Maren;
- Thompson, Mitchell G.;
- Banerjee, Deepanwita;
- Prahl, Jan-Philip;
- Morella, Norma M.;
- Barcelos, Carolina A.;
- Moon, Jadie;
- Costello, Zak;
- Keasling, Jay D.;
- Shih, Patrick M.;
- Tanjore, Deepti;
- Mukhopadhyay, Aindrila
Publication type:
Article
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.
Published in:
PLoS Computational Biology, 2023, v. 19, n. 11, p. 1, doi. 10.1371/journal.pcbi.1011111
By:
- Backman, Tyler W. H.;
- Schenk, Christina;
- Radivojevic, Tijana;
- Ando, David;
- Singh, Jahnavi;
- Czajka, Jeffrey J.;
- Costello, Zak;
- Keasling, Jay D.;
- Tang, Yinjie;
- Akhmatskaya, Elena;
- Garcia Martin, Hector
Publication type:
Article
Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer.
Published in:
Nature Communications, 2018, v. 9, n. 1, p. 1, doi. 10.1038/s41467-018-03293-x
By:
- Denby, Charles M.;
- Li, Rachel A.;
- Vu, Van T.;
- Costello, Zak;
- Weiyin Lin;
- Chan, Leanne Jade G.;
- Williams, Joseph;
- Donaldson, Bryan;
- Bamforth, Charles W.;
- Petzold, Christopher J.;
- Scheller, Henrik V.;
- Martin, Hector Garcia;
- Keasling, Jay D.
Publication type:
Article
A machine learning Automated Recommendation Tool for synthetic biology.
Published in:
Nature Communications, 2020, v. 11, n. 1, p. N.PAG, doi. 10.1038/s41467-020-18008-4
By:
- Radivojević, Tijana;
- Costello, Zak;
- Workman, Kenneth;
- Garcia Martin, Hector
Publication type:
Article
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism.
Published in:
Nature Communications, 2020, v. 11, n. 1, p. N.PAG, doi. 10.1038/s41467-020-17910-1
By:
- Zhang, Jie;
- Petersen, Søren D.;
- Radivojevic, Tijana;
- Ramirez, Andrés;
- Pérez-Manríquez, Andrés;
- Abeliuk, Eduardo;
- Sánchez, Benjamín J.;
- Costello, Zak;
- Chen, Yu;
- Fero, Michael J.;
- Martin, Hector Garcia;
- Nielsen, Jens;
- Keasling, Jay D.;
- Jensen, Michael K.
Publication type:
Article

Found: 7

A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.

A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.

Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation.

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.

Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer.

A machine learning Automated Recommendation Tool for synthetic biology.

Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism.