Author

Paul Hüttl

University of RegensburgORCID 0009-0007-6959-8003Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Jakob SimethiD· 2 shared Marian SchöniD· 2 shared Rainer SpangiD· 2 shared Zahra NozariiD· 2 shared James A. HutchinsoniD· 1 shared Michael AltenbuchingeriD· 1 shared Michael HuttneriD· 1 shared Tobias Schmidt· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Jakob SimethORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedAug 25, 2025

Harp: Platform Independent Deconvolution Tool

Zahra Nozari, Paul Hüttl, Jakob Simeth…·Rainer Spang

Harp improves deconvolution accuracy by harmonizing cell reference profiles and overcoming batch effects in bulk gene expression data.

1 citation

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 24, 2024

Virtual Tissue Expression Analysis

Jakob Simeth, Paul Hüttl, Marian Schön…·Rainer Spang

The paper introduces tissueResolver, an algorithm that infers single-cell type information from bulk RNA-seq data, revealing cell-type-specific regulatory differences in DLBCL subtypes.

6 citations

humanbulk RNA-seq

𝕏 PostBluesky