Author

Kate Dembny

University of MinnesotaORCID 0000-0001-7876-8093Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander B. HermaniD· 1 shared David P DarrowiD· 1 shared Hafsa FarooqiiD· 1 shared Theoden Ivan NetoffiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Alexander B. HermanORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Neural EngineeringPeer-reviewedApr 15, 2026

Metric Validation for Detection of Delayed and Directed Coupling

Kate Dembny, Hafsa Farooqi, Alexander B. Herman…·David P Darrow

This paper evaluates effective connectivity metrics for reconstructing neural network topology under data limitations, finding that multivariate transfer entropy is most accurate but slow, while partial cross-correlation is efficient for larger networks.

1 citation

electronic health recordsstatistical model

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