Author

Michael A. Cannarile

F. Hoffmann-La Roche AGORCID 0000-0001-6062-5588Unclaimed 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:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alberto ValdeolivasiD· 1 shared Andreas RolleriD· 1 shared Astrid Heller· 1 shared Carmen S. M. Yong· 1 shared Cláudia S. Ferreira· 1 shared Emilio YángüeziD· 1 shared Gabriele Dietmann· 1 shared Iakov I. DavydoviD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

Alberto ValdeolivasORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMar 9, 2026

Performance of the 10X Genomics Flex Single-Cell Sequencing Assay and its Application to Overcome Challenges in Clinical Trial Samples

Martina Antoniolli, Llucia Albertí Servera, Kerstin Paetzold…·Steffen Dettling

The paper compares scRNA-seq protocols for clinical trial samples, finding that GEM-X Flex with chop-fix outperforms standard protocols and snRNA-seq in fixed tissue and FFPE blocks.

DOI 10.64898/2026.03.06.710062

humanscRNA-seq

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Cancer BiologyJournal for ImmunoTherapy of CancerPeer-reviewedApr 1, 2024

Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+ T cells in the tumor microenvironment and predicts clinical outcome in early- and late-phase clinical trials

Andreas Roller, Iakov I. Davydov, Petra Catalina Schwalie…·Michael A. Cannarile

This study develops a transcriptome-based classifier to predict CD8+ T cell spatial infiltration patterns in the tumor microenvironment and shows its prognostic and predictive value across clinical trials.

21 citations

humanbulk RNA-seq

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