Author

Ferdinand Kapl

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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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Batuhan ÇakıriD· 1 shared Duy PhamiD· 1 shared Fabian Joachim TheisiD· 1 shared Hananeh AlieeiD· 1 shared James J. CranleyiD· 1 shared Kerstin B. MeyeriD· 1 shared Roser Vento-TormoiD· 1 shared Sarah Amalia TeichmanniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Batuhan ÇakırORCID

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1 paper

Recent·Most cited

inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference maps

Hananeh Aliee, Ferdinand Kapl, Duy Pham, Batuhan Çakır, Takahiro Jimba, James J. Cranley, Sarah Amalia Teichmann, Kerstin B. Meyer, Roser Vento-Tormo, Fabian Joachim Theis

inVAE improves cell state identification by disentangling biological and technical variation in single-cell data, outperforming existing methods across multiple human tissues.

bioRxiv · Dec 6, 2024 · PreprintBioinformatics