Author

Michael Bohl

ETH Zurich

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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Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Daniel TabaresiD· 1 shared Kerstin LenhofiD· 1 shared Marina Esteban‐MedinaiD· 1 shared Niko BeerenwinkeliD· 1 shared Valentina BoevaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperGenomics

Daniel TabaresORCID

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Author profile →

2 papers

Recent·Most cited

Gene Embedding Hub: a standardized resource for human gene representations

Daniel Tabares, Michael Bohl, Valentina Boeva

The paper introduces a standardized resource of human gene embeddings derived from diverse biological data sources, enabling comparison and use across modalities.

bioRxiv · Nov 1, 2026 · PreprintGenomics

Domain-adaptation deep learning models do not outperform simple baseline models in single-cell anti-cancer drug sensitivity prediction

Michael Bohl, Marina Esteban‐Medina, Niko Beerenwinkel, Kerstin Lenhof

This study shows that complex domain adaptation models do not outperform simple gradient boosting models in predicting single-cell anti-cancer drug sensitivity.

bioRxiv · Feb 25, 2026 · PreprintCancer Biology