Author

Markus Außerhofer

Universität Innsbruck

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· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Dietmar RiederiD· 2 shared Francesca FinotelloiD· 2 shared Zlatko TrajanoskiiD· 2 shared Constantin ZackliD· 1 shared Federica EduatiiD· 1 shared Giorgia LambertiiD· 1 shared Gregor SturmiD· 1 shared J A KantiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Dietmar RiederORCID

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2 papers

Recent·Most cited

NovumRNA: accurate prediction of non-canonical tumor antigens from RNA sequencing data

Markus Außerhofer, Dietmar Rieder, Manuel Facciolla, Raphael Gronauer, Giorgia Lamberti, Rebecca Lisandrelli, Serena Pellegatta, Zlatko Trajanoski, Francesca Finotello

NovumRNA predicts non-canonical tumor antigens from RNA sequencing data, showing robustness across cancer types and identifying therapy-induced antigens in glioblastoma.

iScience · Sep 3, 2025Peer-reviewedBioinformatics

Multimodal analysis unveils tumor microenvironment heterogeneity linked to immune activity and evasion

Óscar Lapuente-Santana, Gregor Sturm, J A Kant, Markus Außerhofer, Constantin Zackl, Maria Zopoglou, Nicholas McGranahan, Dietmar Rieder, Zlatko Trajanoski, Noel F.C.C. de Miranda, Federica Eduati, Francesca Finotello

This paper develops a signature, iHet, to capture tumor microenvironment heterogeneity linked to immune activity and evasion using transcriptomic data from lung cancer.

iScience · Jul 15, 2024Peer-reviewedBioinformatics