Author

Sieghart Sopper

Innsbruck Medical UniversityORCID 0000-0003-2265-1974Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Zlatko TrajanoskiiD· 3 shared Dietmar RiederiD· 2 shared Georgios FotakisiD· 2 shared Marieke E. IjsselsteijniD· 2 shared Noel F.C.C. de MirandaiD· 2 shared Zuzana LoncováiD· 2 shared Agnieszka MartowicziD· 1 shared Alessia Rossi· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Zlatko TrajanoskiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsCancer CellPeer-reviewedJan 1, 2026

Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer

Valentin Marteau, Niloofar Nemati, Kristina Handler…·Zlatko Trajanoski

The paper integrates single-cell data from CRC patients to identify immune subtypes and neutrophil phenotypes, revealing their spatial organization and tumor-induced changes.

37 citationstop 1%

humanscRNA-seq

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Cancer BiologyFrontiers in Cell and Developmental BiologyPeer-reviewedNov 25, 2025

Optimised dissociation and multimodal profiling of prostate cancer stroma reveal fibromuscular cell heterogeneity with clinical correlates

Elisabeth Damisch, Elena Brunner, Lukas Nommensen…·Natalie Sampson

The paper optimizes dissociation protocols and uses multimodal profiling to characterize fibromuscular stromal heterogeneity in prostate cancer with clinical relevance.

DOI 10.3389/fcell.2025.1653780

humanscRNA-seq

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BioinformaticsGenome MedicinePeer-reviewedMay 24, 2019

✦ In-depth digest

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

Francesca Finotello, Clemens Mayer, Christina Plattner…·Zlatko Trajanoski

quanTIseq estimates absolute fractions of ten immune cell types from bulk RNA-seq; across TCGA, CXCL9/CXCR3 expression, not mutational load, tracks CD8+ T cell infiltration.

1,546 citationstop 1%

humanbulk RNA-seq

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