Author

Jens Nußberger

University of Freiburg

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:GWAS summary statistics· 1 Research Focus:imputation· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

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Frederic BoeseliD· 1 shared Harald BinderiD· 1 shared Moritz HessiD· 1 shared Stefan LenziD· 1 shared

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2020-2020 · peak 1/yr

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1 shared paperBioinformatics

Frederic BoeselORCID

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1 paper

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 24, 2020

Synthetic observations from deep generative models and binary omics data with limited sample size

Jens Nußberger, Frederic Boesel, Stefan Lenz…·Moritz Hess

The paper evaluates generative models for binary omics data with small sample sizes, finding DBMs and VAEs perform better than GANs for recovering pairwise relationships.

15 citations

GWAS summary statisticsvariational autoencoder

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