Author

Shenzhi Chen

University of ViennaORCID 0009-0004-2050-2873Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Alexander StarkiD· 1 shared Atrin DizehchiiD· 1 shared Ethan W. HollingsworthiD· 1 shared Evgeny Z. KvoniD· 1 shared Jacob Matthew SchreiberiD· 1 shared Murakami KeniD· 1 shared Nikolaus MandlburgeriD· 1 shared Sandra H. JacintoiD· 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 paperSynthetic Biology

Alexander StarkORCID

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1 paper

Recent·Most cited

Predictive design of tissue-specific mammalian enhancers that function in vivo in the mouse embryo

Shenzhi Chen, Vincent Loubière, Ethan W. Hollingsworth, Murakami Ken, Nikolaus Mandlburger, Sandra H. Jacinto, Atrin Dizehchi, Jacob Matthew Schreiber, Evgeny Z. Kvon, Alexander Stark

The paper designs tissue-specific enhancers for mouse embryos using deep learning models trained on chromatin accessibility data and validated enhancers.

Nature Genetics · Aug 25, 2026Peer-reviewedSynthetic Biology