Author

Fangzhou Shen

University of MichiganORCID 0000-0002-5887-5059Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

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Research Focus:differential expression· 2 Assay:metabolomics· 2 Organism:mouse· 2 Assay:proteomics· 2 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1

Frequent Co-Authors

Ho‐Joon LeeiD· 2 shared Sriram ChandrasekaraniD· 2 shared Alec EamesiD· 1 shared Kirk SmithiD· 1 shared Mark P. Jedrychowski· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersSystems Biology

Ho‐Joon LeeORCID

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2 papers

Recent·Most cited

Systems BiologyiSciencePeer-reviewedJan 1, 2022

Metabolic signatures of regulation by phosphorylation and acetylation

Kirk Smith, Fangzhou Shen, Ho‐Joon Lee, Sriram Chandrasekaran

The paper uses machine learning to classify metabolic regulation by phosphorylation and acetylation across multiple organisms and conditions.

20 citations

Systems BiologybioRxivPreprintOct 11, 2021

Dynamic metabolic network modeling of a mammalian cell cycle using time-course multi-omics data

Ho‐Joon Lee, Fangzhou Shen, Alec Eames…·Sriram Chandrasekaran

The paper uses dynamic metabolic modeling to analyze time-course multi-omics data from murine pro-B cells, revealing key metabolic changes during the cell cycle.

1 citation

mousemetabolomics