Author

Nevena Zivanovic

University of ZurichORCID 0000-0001-7153-4059Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CITE-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:multiome· 1

Frequent Co-Authors

Bernd BodenmilleriD· 2 shared Smita KrishnaswamyiD· 2 shared Dana Pe’eriD· 1 shared David van DijkiD· 1 shared Guy WolfiD· 1 shared Roshan SharmaiD· 1 shared William S. CheniD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Bernd BodenmillerORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJan 13, 2020

Embedding single-cell experimental conditions to reveal manifold structure of cancer drug perturbation effects

William S. Chen, Nevena Zivanovic, David van Dijk…·Smita Krishnaswamy

This paper introduces PhEMD, a method to embed drug perturbation effects in single-cell experiments, revealing low-dimensional manifold structures and enabling efficient drug effect inference.

48 citations

CITE-seqbulk RNA-seq

𝕏 PostBluesky

Systems BiologybioRxivPreprintJun 25, 2017

Learning Edge Rewiring in EMT from Single Cell Data

Smita Krishnaswamy, Nevena Zivanovic, Roshan Sharma…·Bernd Bodenmiller

The paper develops methods to infer dynamic gene regulatory network rewiring during EMT from single-cell data and validates their predictive power for drug effects.

6 citations

mousemultiome

𝕏 PostBluesky