Author

Irene de Teresa

Engie (France)ORCID 0000-0002-4691-9501Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Organism:yeast· 1

Frequent Co-Authors

Alba Diz-MuñoziD· 1 shared Alexander MattauschiD· 1 shared Anna KreshukiD· 1 shared Christian E. ZimmerliiD· 1 shared Constantin PapeiD· 1 shared Dorothy ChengiD· 1 shared Fergus TollerveyiD· 1 shared Frosina StojanovskaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alba Diz-MuñozORCID

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1 paper

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJan 23, 2023

Convolutional networks for supervised mining of molecular patterns within cellular context

Irene de Teresa, Sara Kathrin Goetz, Alexander Mattausch…·Judith B. Zaugg

DeePiCt is a deep-learning framework for segmenting and localizing macromolecular complexes in cryo-electron tomograms, showing effectiveness in identifying low-abundance structures across species.

160 citationstop 1%

yeasthuman

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