Author

Markus Kreuz

Fraunhofer Institute for Cell Therapy and ImmunologyORCID 0000-0002-0520-8391Unclaimed ORCID profile · follow to get notified of new preprints

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Markus Kreuz1 paper

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Kristin ReicheiD· 2 shared Michael RadeiD· 2 shared Aaron M. NewmaniD· 1 shared Aashi Jain· 1 shared Adrian GottschlichiD· 1 shared Adrien DaigeleriD· 1 shared Alberto ValdeolivasiD· 1 shared Alexander ScholziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersImmunology

Kristin ReicheORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 21, 2026

A CAR T cell-amplified suppressive B cell circuit in AML

Adrian Gottschlich, Vladyslav Kavaka, Thomas Alexander Janert…·Sebastian Kobold

The paper identifies suppressive atypical memory B cells in AML that are amplified by CAR T cell interactions and shows that targeting both B cells and AML blasts can overcome this suppression.

DOI 10.64898/2026.10.12.758644

humanbulk RNA-seq

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BioinformaticsNature CommunicationsPeer-reviewedAug 27, 2024

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Brian S. White, Aurélien de Reyniès, Aaron M. Newman…·Andrew J. Gentles

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

56 citationstop 1%

humanbulk RNA-seq

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