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  1. 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/Magazine › Journal article › peer-review

  2. Unpublished

    Production of fluid dynamically improved filters using additive manufacturing

    Vijayakumar, B., Rennie, A. & Burns, N., 18/12/2012, (Unpublished).

    Research output: Contribution to conference - Without ISBN/ISSN › Poster

  3. 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/ISSN › Conference contribution/Paper › peer-review

  4. 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/Magazine › Journal article › peer-review

  5. 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

  6. Published

    Using additive manufacturing to build energy efficient filter supports

    Vijayakumar, B., Rennie, A., Burns, N., Burns, M., Travis, D. & Battersby, P., 10/2013. 9 p.

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

  7. 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/ISSN › Chapter

  8. 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/Magazine › Journal article › peer-review

  9. Published

    Group communication techniques in overlay networks

    Vik, K-H., Halvorsen, P., Griwodz, C., Zimmermann, R. & Roedig, U., 2009, In: ACM SIGMM Records. 1, 2, p. 9-10 2 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Pathogen persistence in migratory insects : high levels of vertically-transmitted virus infection in field populations of the African armyworm.

    Vilaplana, L., Wilson, K., Redman, E. M. & Cory, J. S., 01/2010, In: Evolutionary Ecology. 24, 1, p. 147-160 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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