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Elisabeth Yaneske
Elisabeth Yaneske
Associate Professor, Teesside University
Verified email at tees.ac.uk
Title
Cited by
Cited by
Year
Machine and deep learning meet genome-scale metabolic modeling
G Zampieri, S Vijayakumar, E Yaneske, C Angione
PLoS computational biology 15 (7), e1007084, 2019
1572019
Using Voice Boards: pedagogical design, technological implementation, evaluation and reflections
E Yaneske, B Oates
Australasian Journal of Educational Technology 26 (8), 2010
262010
The poly-omics of ageing through individual-based metabolic modelling
E Yaneske, C Angione
BMC bioinformatics 19 (14), 83-96, 2018
212018
Using voice boards: Pedagogical design, technological implementation, evaluation and reflections.
E Yaneske, B Oates
Journal of Asynchronous Learning Networks 15 (4), 69-83, 2011
112011
Using machine learning as a surrogate model for agent-based simulations
C Angione, E Silverman, E Yaneske
Plos one 17 (2), e0263150, 2022
92022
Genome‐scale metabolic modelling of SARS‐CoV‐2 in cancer cells reveals an increased shift to glycolytic energy production
E Yaneske, G Zampieri, L Bertoldi, G Benvenuto, C Angione
FEBS letters 595 (18), 2350-2365, 2021
82021
Using machine learning to emulate agent-based simulations
C Angione, E Silverman, E Yaneske
arXiv preprint arXiv:2005.02077, 2020
72020
Mismatched expectations of staff and students towards Blackboard
E Yaneske, A Bingham
Association for Learning Technology, 11, 2006
62006
Mechanistic effects of influenza in bronchial cells through poly-omic genome-scale modelling
E Yaneske, C Angione
IWBDA 2018: 10th International Workshop on Bio-Design Automation, 2018
12018
A data-and model-driven analysis reveals the multi-omic landscape of ageing
E Yaneske, C Angione
International Conference on Bioinformatics and Biomedical Engineering, 145-154, 2017
12017
Inquiry based learning and information literacy with international masters students
BJ Oates, E Yaneske, G Griffiths
HE Academy, 2010
2010
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Articles 1–11