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Machine and deep learning meet genome-scale metabolic modeling.
PLoS Comput Biol. 2019 Jul 11;15(7):e1007084. doi: 10.1371/journal.pcbi.1007084. eCollection 2019 Jul.
PLoS Comput Biol. 2019.
PMID: 31295267
Free PMC article.
Review.
Using machine learning as a surrogate model for agent-based simulations.
Angione C, Silverman E, Yaneske E.
Angione C, et al. Among authors: yaneske e.
PLoS One. 2022 Feb 10;17(2):e0263150. doi: 10.1371/journal.pone.0263150. eCollection 2022.
PLoS One. 2022.
PMID: 35143521
Free PMC article.
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The poly-omics of ageing through individual-based metabolic modelling.
Yaneske E, Angione C.
Yaneske E, et al.
BMC Bioinformatics. 2018 Nov 20;19(Suppl 14):415. doi: 10.1186/s12859-018-2383-z.
BMC Bioinformatics. 2018.
PMID: 30453872
Free PMC article.
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Genome-scale metabolic modelling of SARS-CoV-2 in cancer cells reveals an increased shift to glycolytic energy production.
Yaneske E, Zampieri G, Bertoldi L, Benvenuto G, Angione C.
Yaneske E, et al.
FEBS Lett. 2021 Sep;595(18):2350-2365. doi: 10.1002/1873-3468.14180. Epub 2021 Sep 5.
FEBS Lett. 2021.
PMID: 34409594
Free PMC article.
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