Author

Johanna Schneeberger

Helmholtz Munich

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

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Dominik KleiniD· 1 shared Ege Erdogan· 1 shared Fabian Joachim TheisiD· 1 shared Hananeh AlieeiD· 1 shared Ignacio L. IbarraiD· 1 shared Laura D. MartensiD· 1 shared Lennart Redl· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Dominik KleinORCID

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1 paper

Recent·Most cited

Learning sequence-based regulatory dynamics in single-cell genomics

Ignacio L. Ibarra, Johanna Schneeberger, Ege Erdogan, Lennart Redl, Laura D. Martens, Dominik Klein, Hananeh Aliee, Fabian Joachim Theis

The paper introduces muBind, a deep learning model that predicts genomic counts from DNA sequences and cell relationships, enhancing understanding of regulatory dynamics during cell transitions.

bioRxiv · Aug 7, 2024 · PreprintGenomics