Concepedia

Supreeta Vijayakumar

SV

5

Publications

227

Citations

5

H-Index

2017

Active since

Affiliations

Teesside University(Current)

University of Cambridge

Supreeta Vijayakumar is an author at Teesside University specializing in medicine, human microbial flora, and host-microbe biology.

ORCID

Top concepts

Publications per year

2017–2021

5

Publications

5

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

Christopher Culley, Supreeta Vijayakumar, Guido Zampieri et al. · Proceedings of the National Academy of Sciences · 2020 · 88 citations · Full text

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

Supreeta Vijayakumar, Pattanathu Rahman, Claudio Angione · iScience · 2020 · 61 citations · Full text

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

Supreeta Vijayakumar, Max Conway, Píetro Lió et al. · Briefings in Bioinformatics · 2017 · 49 citations · Full text

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Social dynamics modeling of chrono-nutrition

Alessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar et al. · PLoS Computational Biology · 2019 · 19 citations · Full text

, , +21

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

Supreeta Vijayakumar, Claudio Angione · STAR Protocols · 2021 · 10 citations · Full text

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