Author

Emily Kurtz

University of Michigan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anya Coffeen-Vandeven· 1 shared Kirk SmithiD· 1 shared Minali Kapadia· 1 shared Rupa BhowmickiD· 1 shared Ryan SchildcroutiD· 1 shared Srikar Nelakuditi· 1 shared Sriram ChandrasekaraniD· 1 shared Suraj MenoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperSystems Biology

Anya Coffeen-Vandeven

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1 paper

Recent·Most cited

Recon8D: A metabolic regulome network from oct-omics and machine learning

Ryan Schildcrout, Kirk Smith, Rupa Bhowmick, Yuntao Lu, Suraj Menon, Minali Kapadia, Emily Kurtz, Anya Coffeen-Vandeven, Srikar Nelakuditi, Sriram Chandrasekaran

The paper uses machine learning to predict metabolomic variation across cancer cell lines using 8 omic layers, identifying key predictors and signaling pathways.

Communications Biology · Jun 2, 2026Peer-reviewedSystems Biology