| Machine and deep learning meet genome-scale metabolic modeling G Zampieri, S Vijayakumar, E Yaneske, C Angione PLoS computational biology 15 (7), e1007084, 2019 | 238 | 2019 |
| Using machine learning as a surrogate model for agent-based simulations C Angione, E Silverman, E Yaneske Plos one 17 (2), e0263150, 2022 | 56 | 2022 |
| The poly-omics of ageing through individual-based metabolic modelling E Yaneske, C Angione BMC bioinformatics 19, 83-96, 2018 | 26 | 2018 |
| Using Voice Boards: pedagogical design, technological implementation, evaluation and reflections E Yaneske, B Oates Australasian Journal of Educational Technology 26 (8), 2010 | 25 | 2010 |
| 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 | 15 | 2021 |
| Using machine learning to emulate agent-based simulations C Angione, E Silverman, E Yaneske arXiv preprint arXiv:2005.02077, 2020 | 11 | 2020 |
| Using voice boards: Pedagogical design, technological implementation, evaluation and reflections. E Yaneske, B Oates Journal of Asynchronous Learning Networks 15 (4), 69-83, 2011 | 11 | 2011 |
| Mismatched expectations of staff and students towards Blackboard E Yaneske, A Bingham Association for Learning Technology, 11, 2006 | 4 | 2006 |
| 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 | 1 | 2018 |
| A data-and model-driven analysis reveals the multi-omic landscape of ageing E Yaneske, C Angione Bioinformatics and Biomedical Engineering: 5th International Work-Conference …, 2017 | 1 | 2017 |
| Inquiry based learning and information literacy with international masters students BJ Oates, E Yaneske, G Griffiths HE Academy, 2010 | | 2010 |
