Author

Felix Peppert

Zuse Institute BerlinORCID 0000-0002-5353-5354Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Christof SchütteiD· 2 shared Vikram SunkaraiD· 2 shared Kenrick SchulzeiD· 1 shared Max von KleistiD· 1 shared Nomenjanahary Alexia RaharinirinaiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Christof SchütteORCID

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2 papers

Recent·Most cited

BioinformaticsArtificial IntelligencePeer-reviewedOct 31, 2024

Chimeric U-Net - Modifying the standard U-Net towards Explainability

Kenrick Schulze, Felix Peppert, Christof Schütte, Vikram Sunkara

The paper introduces Chimeric U-Net, an invertible decoder U-Net architecture that enhances explainability in semantic segmentation without compromising performance.

6 citations

imagingdeep learning

𝕏 PostBluesky

Systems BiologyPatternsPeer-reviewedAug 18, 2021

Inferring Gene Regulatory Networks from Single Cell RNA-seq Temporal Snapshot Data Requires Higher Order Moments

Nomenjanahary Alexia Raharinirina, Felix Peppert, Max von Kleist…·Vikram Sunkara

This paper shows that inferring gene regulatory networks from scRNA-seq data requires considering higher-order statistical moments and highlights challenges in preprocessing and feature extraction.

10 citations

scRNA-seqstatistical model

𝕏 PostBluesky