Author

James D. Brunner

Mayo ClinicORCID 0000-0002-8147-2522Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

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Eric MjolsnessiD· 1 shared Jacob Kim· 1 shared Kord M. KoberiD· 1 shared Nicholas ChiaiD· 1 shared Timothy L. DowningiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

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5 top collaborators · 6 mutual co-author links

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1 shared paperSystems Biology

Eric MjolsnessORCID

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2 papers

Recent·Most cited

Systems BiologyPLoS Computational BiologyPeer-reviewedSep 29, 2020

Minimizing the number of optimizations for efficient community dynamic flux balance analysis.

James D. Brunner, Nicholas Chia

This paper introduces a method to reduce computational cost in dynamic flux balance analysis by minimizing optimizations, achieving an 85% speed-up for microbial communities.

24 citations

metabolomicsstatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintAug 3, 2020

A dynamical system model for predicting gene expression from the epigenome

James D. Brunner, Jacob Kim, Timothy L. Downing…·Kord M. Kober

This paper introduces a stochastic dynamical systems model to predict gene expression from methylation data using a gene regulatory network, and provides software for implementation.

DOI 10.1101/2020.08.03.234740

DNA methylationstatistical model

𝕏 PostBluesky