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Dr Supreeta Vijayakumar

Senior Research Associate

  1. 2024
  2. Published

    Kinetic modeling identifies targets for engineering improved photosynthetic efficiency in potato (Solanum tuberosum cv. Solara)

    Vijayakumar, S., Yu, W., Lehretz, G., Taylor, S., Carmo-Silva, E. & Long, S., 31/01/2024, In: The Plant Journal. 117, 2, p. 561-572 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 2022
  4. Published

    A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling

    Vijayakumar, S., Magazzù, G., Moon, P., Occhipinti, A. & Angione, C., 24/05/2022, Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols. Cortassa, S. & Aon, M. A. (eds.). New York: Humana Press, p. 87-122 36 p. (Methods in Molecular Biology ; vol. 2399).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  5. 2021
  6. Published

    Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002

    Vijayakumar, S. & Angione, C., 17/12/2021, In: STAR Protocols. 2, 4, p. 1-57 57 p., 100837.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. 2020
  8. Published

    A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria

    Vijayakumar, S., Rahman, P. K. S. M. & Angione, C., 18/12/2020, In: iScience. 23, 12, p. 1-39 39 p., 101818.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth

    Culley, C., Vijayakumar, S., Zampieri, G. & Angione, C., 4/08/2020, In: Proceedings of the National Academy of Sciences of the United States of America. 117, 31, p. 18869-18879 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. 2019
  11. Published

    Machine and deep learning meet genome-scale metabolic modeling

    Zampieri, G., Vijayakumar, S., Yaneske, E. & Angione, C., 11/07/2019, In: PLoS Computational Biology. 15, 7, p. 1-24 24 p., e1007084.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    Combining metabolic modelling with machine learning accurately predicts yeast growth rate

    Culley, C., Vijayakumar, S., Zampieri, G. & Angione, C., 8/07/2019, p. 1-2. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

  13. Published

    Social dynamics modeling of chrono-nutrition

    Stefano, A. D., Scatà, M., Vijayakumar, S., Angione, C., Corte, A. L. & Liò, P., 30/01/2019, In: PLoS Computational Biology. 15, 1, p. 1-25 25 p., e1006714.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. 2018
  15. Published

    Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling

    Vijayakumar, S., Conway, M., Lió, P. & Angione, C., 30/11/2018, In: Briefings in Bioinformatics. 19, 6, p. 1218–1235 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    Optimization of multi-omic genome-scale models: Methodologies, hands-on tutorial, and perspectives

    Vijayakumar, S., Conway, M., Lió, P. & Angione, C., 2018, Metabolic Network Reconstruction and Modeling: Methods and Protocols. Fondi, M. (ed.). New York, NY: Humana Press, 19 p. (Methods in Molecular Biology).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  17. 2017
  18. Published

    Poly-omic statistical methods describe cyanobacterial metabolic adaptation to fluctuating environments

    Vijayakumar, S. & Angione, C., 11/08/2017. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paper

  19. Published

    Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity

    Vijayakumar, S. & Angione, C., 26/04/2017, Bioinformatics and Biomedical Engineering: 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part I. Rojas, I. & Ortuño, F. (eds.). Cham: Springer, p. 220-229 10 p. (Lecture Notes in Computer Science; vol. 10208).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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