Author

Deli Irene

Institute of Biological Chemistry, Academia Sinica

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:CUT&Tag· 1 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Carlos Óscar S. SorzanoiD· 1 shared Carlos P. MataiD· 1 shared Chari M. NoddingsiD· 1 shared David A. AgardiD· 1 shared David HerrerosiD· 1 shared J.M. CarazoiD· 1 shared James KriegeriD· 1 shared Ming‐Daw TsaiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Carlos Óscar S. SorzanoORCID

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1 paper

Recent·Most cited

Real-space heterogeneous reconstruction, refinement, and disentanglement of CryoEM conformational states with HetSIREN

David Herreros, Carlos P. Mata, Chari M. Noddings, Deli Irene, James Krieger, David A. Agard, Ming‐Daw Tsai, Carlos Óscar S. Sorzano, J.M. Carazo

HetSIREN is a deep learning method for CryoEM conformational state reconstruction and refinement, improving structural accuracy by decoupling pose and CTF information from conformational landscapes.

Nature Communications · Apr 22, 2025Peer-reviewedBioinformatics