Items where Author is "Vijayakumar, Supreeta"

Journal Article

Vijayakumar, Supreeta and Yu, Wang and Lehretz, Günter and Taylor, Samuel and Carmo-Silva, Elizabete and Long, Stephen (2024) Kinetic modeling identifies targets for engineering improved photosynthetic efficiency in potato (Solanum tuberosum cv. Solara). The Plant Journal, 117 (2). pp. 561-572. ISSN 1365-313X

Vijayakumar, Supreeta and Angione, Claudio (2021) Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002. STAR Protocols, 2 (4): 100837. pp. 1-57.

Vijayakumar, Supreeta and Rahman, Pattanathu K.S.M. and Angione, Claudio (2020) A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria. iScience, 23 (12): 101818. pp. 1-39. ISSN 2589-0042

Culley, Christopher and Vijayakumar, Supreeta and Zampieri, Guido and Angione, Claudio (2020) A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth. Proceedings of the National Academy of Sciences of the United States of America, 117 (31). pp. 18869-18879. ISSN 0027-8424

Zampieri, Guido and Vijayakumar, Supreeta and Yaneske, Elisabeth and Angione, Claudio (2019) Machine and deep learning meet genome-scale metabolic modeling. PLoS Computational Biology, 15 (7): e1007084. pp. 1-24. ISSN 1553-734X

Stefano, Alessandro Di and Scatà, Marialisa and Vijayakumar, Supreeta and Angione, Claudio and Corte, Aurelio La and Liò, Pietro (2019) Social dynamics modeling of chrono-nutrition. PLoS Computational Biology, 15 (1): e1006714. pp. 1-25. ISSN 1553-734X

Contribution in Book/Report/Proceedings

Vijayakumar, Supreeta and Magazzù, Giuseppe and Moon, Pradip and Occhipinti, Annalisa and Angione, Claudio (2022) A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling. In: Computational Systems Biology in Medicine and Biotechnology : Methods and Protocols. Methods in Molecular Biology . Humana Press, New York, pp. 87-122. ISBN 9781071618301

Contribution to Conference

Culley, Christopher and Vijayakumar, Supreeta and Zampieri, Guido and Angione, Claudio (2019) Combining metabolic modelling with machine learning accurately predicts yeast growth rate. In: UNSPECIFIED.

Vijayakumar, Supreeta and Angione, Claudio (2017) Poly-omic statistical methods describe cyanobacterial metabolic adaptation to fluctuating environments. In: EventIWBDA 2017, 2017-08-08 - 2017-08-11.